2798 Repositories
Python Temporal-attentive-Covariance-Pooling-Networks-for-Video-Recognition Libraries
Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)
Introduction Codebase for the paper Transformer Embeddings of Irregularly Spaced Events and Their Participants. This codebase contains two packages: a
PyTorch implementation of DCT fast weight RNNs
DCT based fast weights This repository contains the official code for the paper: Training and Generating Neural Networks in Compressed Weight Space. T
RodoSol-ALPR Dataset
RodoSol-ALPR Dataset This dataset, called RodoSol-ALPR dataset, contains 20,000 images captured by static cameras located at pay tolls owned by the Ro
TVNet: Temporal Voting Network for Action Localization
TVNet: Temporal Voting Network for Action Localization This repo holds the codes of paper: "TVNet: Temporal Voting Network for Action Localization". P
Referring Video Object Segmentation
Awesome-Referring-Video-Object-Segmentation Welcome to starts โญ & comments ๐น & sharing ๐ !! - 2021.12.12: Recent papers (from 2021) - welcome to ad
CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.
CV Backbones including GhostNet, TinyNet, TNT (Transformer in Transformer) developed by Huawei Noah's Ark Lab. GhostNet Code TinyNet Code TNT Code Pyr
Repository accompanying the "Sign Pose-based Transformer for Word-level Sign Language Recognition" paper
by Matyรกลก Bohรกฤek and Marek Hrรบz, University of West Bohemia Should you have any questions or inquiries, feel free to contact us here. Repository acco
Meteor scan - Scan through video for meteor
meteor_scan Scan through video for meteor Installation Install python packages b
Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'
Spatio-Temporal Variational GPs This repository is the official implementation of the methods in the publication: O. Hamelijnck, W.J. Wilkinson, N.A.
ReferFormer - Official Implementation of ReferFormer
The official implementation of the paper: Language as Queries for Referring Vide
VideocompBot - This is TG Video Compress BoT. Prouduct By BINARY Tech ๐ซ
VideocompBot - This is TG Video Compress BoT. Prouduct By BINARY Tech ๐ซ
BigbrotherBENL - Face recognition on the Big Brother episodes in Belgium and the Netherlands.
BigbrotherBENL - Face recognition on the Big Brother episodes in Belgium and the Netherlands. Keeping statistics of whom are most visible and recognisable in the series and wether or not it has an impact on who wins.
AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation
AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation AniGAN: Style-Guided Generative Adversarial Networks for U
Pytorch implementation for ACMMM2021 paper "I2V-GAN: Unpaired Infrared-to-Visible Video Translation".
I2V-GAN This repository is the official Pytorch implementation for ACMMM2021 paper "I2V-GAN: Unpaired Infrared-to-Visible Video Translation". Traffic
TSIT: A Simple and Versatile Framework for Image-to-Image Translation
TSIT: A Simple and Versatile Framework for Image-to-Image Translation This repository provides the official PyTorch implementation for the following p
NICE-GAN โ Official PyTorch Implementation Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
NICE-GAN-pytorch - Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
Official PyTorch implementation of the paper: DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample
DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample (ICCV 2021 Oral) Project | Paper Official PyTorch implementation of the pape
GAN-STEM-Conv2MultiSlice - Exploring Generative Adversarial Networks for Image-to-Image Translation in STEM Simulation
GAN-STEM-Conv2MultiSlice GAN method to help covert lower resolution STEM images generated by convolution methods to higher resolution STEM images gene
CDGAN: Cyclic Discriminative Generative Adversarial Networks for Image-to-Image Transformation
CDGAN CDGAN: Cyclic Discriminative Generative Adversarial Networks for Image-to-Image Transformation CDGAN Implementation in PyTorch This is the imple
Net2net - Network-to-Network Translation with Conditional Invertible Neural Networks
Net2Net Code accompanying the NeurIPS 2020 oral paper Network-to-Network Translation with Conditional Invertible Neural Networks Robin Rombach*, Patri
Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation
U-GAT-IT โ Official PyTorch Implementation : Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Imag
Official PyTorch implementation of GDWCT (CVPR 2019, oral)
This repository provides the official code of GDWCT, and it is written in PyTorch. Paper Image-to-Image Translation via Group-wise Deep Whitening-and-
AsymmetricGAN - Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
AsymmetricGAN for Image-to-Image Translation AsymmetricGAN Framework for Multi-Domain Image-to-Image Translation AsymmetricGAN Framework for Hand Gest
[ACM MM 2019 Oral] Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation
Contents Cycle-In-Cycle GANs Installation Dataset Preparation Generating Images Using Pretrained Model Train and Test New Models Acknowledgments Relat
AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation
AttentionGAN-v2 for Unpaired Image-to-Image Translation AttentionGAN-v2 Framework The proposed generator learns both foreground and background attenti
Official pytorch implementation of the AAAI 2021 paper Semantic Grouping Network for Video Captioning
Semantic Grouping Network for Video Captioning Hobin Ryu, Sunghun Kang, Haeyong Kang, and Chang D. Yoo. AAAI 2021. [arxiv] Environment Ubuntu 16.04 CU
Implementation of 'X-Linear Attention Networks for Image Captioning' [CVPR 2020]
Introduction This repository is for X-Linear Attention Networks for Image Captioning (CVPR 2020). The original paper can be found here. Please cite wi
PyTorch code for MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning
MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning PyTorch code for our ACL 2020 paper "MART: Memory-Augmented Recur
This repository focus on Image Captioning & Video Captioning & Seq-to-Seq Learning & NLP
Awesome-Visual-Captioning Table of Contents ACL-2021 CVPR-2021 AAAI-2021 ACMMM-2020 NeurIPS-2020 ECCV-2020 CVPR-2020 ACL-2020 AAAI-2020 ACL-2019 NeurI
Fashion Entity Classification
Fashion-Entity-Classification - Fashion-MNIST is a dataset of Zalando's article imagesโconsisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. Zalando intends Fashion-MNIST to serve as a direct drop-in replacement for the original MNIST dataset for benchmarking machine learning algorithms. It shares the same image size and structure of training and testing splits.
Stinky ID - A stable pluggable Telegram userbot + Voice & Video Call music bot, based on Telethon
Ultroid - UserBot A stable pluggable Telegram userbot + Voice & Video Call music
Asr abc - Automatic speech recognition(ASR),ไธญๆ่ฏญ้ณ่ฏๅซ
่ฏญ้ณ่ฏๅซ็็ฎๅ็คบไพ,ไธป่ฆๅจ่ฏพๅ ๆผ็คบไฝฟ็จ ๅๅปบpython่ๆ็ฏๅข ๅจlinux ๅmacos ไธ้ช่ฏ้่ฟ # ๅฆๆๅทฒ็ปๆpyhon3.6 ็ฏๅข๏ผ่ทณ่ฟ่ฏฅๆญฅ้ชค๏ผไฝฟ็จ
Automated Attendance Project Using Face Recognition
dependencies for project: cmake 3.22.1 dlib 19.22.1 face-recognition 1.3.0 openc
Face-Recognition-Attendence-System - This face recognition Attendence system using Python
Face-Recognition-Attendence-System I have developed this face recognition Attend
Adversarial-autoencoders - Tensorflow implementation of Adversarial Autoencoders
Adversarial Autoencoders (AAE) Tensorflow implementation of Adversarial Autoencoders (ICLR 2016) Similar to variational autoencoder (VAE), AAE imposes
DCGAN-tensorflow - A tensorflow implementation of Deep Convolutional Generative Adversarial Networks
DCGAN in Tensorflow Tensorflow implementation of Deep Convolutional Generative Adversarial Networks which is a stabilize Generative Adversarial Networ
Convnet transfer - Code for paper How transferable are features in deep neural networks?
How transferable are features in deep neural networks? This repository contains source code necessary to reproduce the results presented in the follow
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition This is a Torch implementation of "Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhan
Deep Inside Convolutional Networks - This is a caffe implementation to visualize the learnt model
Deep Inside Convolutional Networks This is a caffe implementation to visualize the learnt model. Part of a class project at Georgia Tech Problem State
A implemetation of the LRCN in mxnet
A implemetation of the LRCN in mxnet ##Abstract LRCN is a combination of CNN and RNN ##Installation Download UCF101 dataset ./avi2jpg.sh to split the
Tensorflow implementation of soft-attention mechanism for video caption generation.
SA-tensorflow Tensorflow implementation of soft-attention mechanism for video caption generation. An example of soft-attention mechanism. The attentio
Code release for Convolutional Two-Stream Network Fusion for Video Action Recognition
Convolutional Two-Stream Network Fusion for Video Action Recognition
Deep-Learning-Image-Captioning - Implementing convolutional and recurrent neural networks in Keras to generate sentence descriptions of images
Deep Learning - Image Captioning with Convolutional and Recurrent Neural Nets ========================================================================
Pointer-generator - Code for the ACL 2017 paper Get To The Point: Summarization with Pointer-Generator Networks
Note: this code is no longer actively maintained. However, feel free to use the Issues section to discuss the code with other users. Some users have u
DeepSpeech - Easy-to-use Speech Toolkit including SOTA ASR pipeline, influential TTS with text frontend and End-to-End Speech Simultaneous Translation.
(็ฎไฝไธญๆ|English) Quick Start | Documents | Models List PaddleSpeech is an open-source toolkit on PaddlePaddle platform for a variety of critical tasks i
Telegram Music/ Video Streaming Bot Using Pytgcalls
Video Player ๐ฅ แดขแดษชแด แด แด แดสแดyแดส ษช๊ฑ แด แดแดสแดษขสแดแด แดสแดแดแดแดแด สแด๊ฑแดแด แดษด แดสสแดษขสแดแด ๊ฐแดส แดสแดส แดแด๊ฑษชแด๊ฑ ษชษด แด แด แดสแดแด๊ฑ... ๐ ก๐ ๐ ๐ ๐ ข๐ ฃ๐ ๐ ฃ๐ ข สแดQแดษชสแดแดแดษดแด๊ฑ ๐ FFmpeg NodeJ
Computer-Vision-Paper-Reviews - Computer Vision Paper Reviews with Key Summary along Papers & Codes
Computer-Vision-Paper-Reviews Computer Vision Paper Reviews with Key Summary along Papers & Codes. Jonathan Choi 2021 50+ Papers across Computer Visio
SimpleDepthEstimation - An unified codebase for NN-based monocular depth estimation methods
SimpleDepthEstimation Introduction This is an unified codebase for NN-based monocular depth estimation methods, the framework is based on detectron2 (
FaceAPI: AI-powered Face Detection & Rotation Tracking, Face Description & Recognition, Age & Gender & Emotion Prediction for Browser and NodeJS using TensorFlow/JS
FaceAPI AI-powered Face Detection & Rotation Tracking, Face Description & Recognition, Age & Gender & Emotion Prediction for Browser and NodeJS using
A video scene detection algorithm is designed to detect a variety of different scenes within a video
Scene-Change-Detection - A video scene detection algorithm is designed to detect a variety of different scenes within a video. There is a very simple definition for a scene: It is a series of logically and chronologically related shots taken in a specific order to depict an over-arching concept or story.
DIP-football - A football video analyse system based on Yolov5, alphapose, Qt6
่ถณ็่ง้ขๅๆ็ณป็ป ไฝ่ ้ๅพไธ [email protected] ๆนๅคฉๅฎฌ [email protected] ็ฎไป ๆฌ้กน็ฎๆฏSJTU 21-22ๅญฆๅนดCS386 ๆฐๅญๅพๅๅค็่ฏพ็จ็ๅคงไฝไธ๏ผๆฌๆๆฏ่ถณ็่ง้ขๅๆ็ณป็ป็ๅ่ๆๆกฃใๆไปฌไธป่ฆๅฎ็ฐไบไปฅไธๅ่ฝ๏ผ ๅบไบYolo v5ๅPastaNetๆญๅปบไบ่ถณ็่ง้ข็
LSTM based Sentiment Classification using Tensorflow - Amazon Reviews Rating
LSTM based Sentiment Classification using Tensorflow - Amazon Reviews Rating (Dataset) The dataset is from Amazon Review Data (2018)
Automatic Number Plate Recognition (ANPR) is a highly accurate system capable of reading vehicle number plates without human intervention
ANPR ANPR is therefore the underlying technology used to find a vehicle license/number plate and it, in turn, supplies this information to a next stag
Doods2 - API for detecting objects in images and video streams using Tensorflow
DOODS2 - Return of DOODS Dedicated Open Object Detection Service - Yes, it's a b
Video-Player - Telegram Music/ Video Streaming Bot Using Pytgcalls
Video Player ๐ฅ แดขแดษชแด แด แด แดสแดyแดส ษช๊ฑ แด แดแดสแดษขสแดแด แดสแดแดแดแดแด สแด๊ฑแดแด แดษด แดสสแดษขสแดแด ๊ฐแดส แดสแดส
Ffmpeg videostream - High speed video frame access in Python, using FFmpeg and FFshow
FFmpeg VideoStream High speed video frame access in Python, using FFmpeg and FFshow This script requires: Karl Kroening's 'ffmpeg-python' library. (ht
Video stream image stacking -- live version
video stream image stacking v2 -- live version A very simple streamed video image stacking code! Version 2.1 left mouse click to select a small region
๐ด ๐ก๐๐๐๐๐๐๐ ๐๐๐ก ๐กโ๐๐ก ๐๐๐ ๐๐๐ค๐๐๐๐๐ ๐ฃ๐๐๐๐ ๐๐๐ ๐๐ข๐๐๐ ๐๐๐๐ ๐ฆ๐๐ข๐ก๐ข๐๐ ๐๐๐ ๐ฃ๐๐๐๐ ๐ค๐๐๐ ๐๐ก๐๐ ๐๐ข๐๐๐๐๐ฆ
๐ด ๐ก๐๐๐๐๐๐๐ ๐๐๐ก ๐กโ๐๐ก ๐๐๐ ๐๐๐ค๐๐๐๐๐ ๐ฃ๐๐๐๐ ๐๐๐ ๐๐ข๐๐๐ ๐๐๐๐ ๐ฆ๐๐ข๐ก๐ข๐๐ ๐๐๐ ๐ฃ๐๐๐๐ ๐ค๐๐๐ ๐๐ก๐๐ ๐๐ข๐๐๐๐๐ฆ
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
Osmnx-examples - Usage examples, demos, and tutorials for OSMnx.
OSMnx Examples OSMnx is a Python package to work with street networks and other spatial data from OpenStreetMap: retrieve, model, analyze, and visuali
Awesome Graph Classification - A collection of important graph embedding, classification and representation learning papers with implementations.
A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers
NanoDet-PlusโกSuper fast and lightweight anchor-free object detection model. ๐ฅOnly 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone๐ฅ
NanoDet-PlusโกSuper fast and lightweight anchor-free object detection model. ๐ฅOnly 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone๐ฅ
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning
Gans-in-action - Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
GANs in Action by Jakub Langr and Vladimir Bok List of available code: Chapter 2: Colab, Notebook Chapter 3: Notebook Chapter 4: Notebook Chapter 6: C
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai
Coursera-deep-learning-specialization - Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
PyTorch-Multi-Style-Transfer - Neural Style and MSG-Net
PyTorch-Style-Transfer This repo provides PyTorch Implementation of MSG-Net (ours) and Neural Style (Gatys et al. CVPR 2016), which has been included
Speech-Emotion-Analyzer - The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
Speech Emotion Analyzer The idea behind creating this project was to build a machine learning model that could detect emotions from the speech we have
Prml - Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
Pattern Recognition and Machine Learning (PRML) This project contains Jupyter notebooks of many the algorithms presented in Christopher Bishop's Patte
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models
Hyperparameter Optimization of Machine Learning Algorithms This code provides a hyper-parameter optimization implementation for machine learning algor
TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow
TensorFlow 101: Introduction to Deep Learning I have worked all my life in Machine Learning, and I've never seen one algorithm knock over its benchmar
Saliency - Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
Saliency Methods ๐ด Now framework-agnostic! (Example core notebook) ๐ด ๐ For further explanation of the methods and more examples of the resulting ma
Captcha-tensorflow - Image Captcha Solving Using TensorFlow and CNN Model. Accuracy 90%+
Captcha Solving Using TensorFlow Introduction Solve captcha using TensorFlow. Learn CNN and TensorFlow by a practical project. Follow the steps, run t
Fewshot-face-translation-GAN - Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.
Few-shot face translation A GAN based approach for one model to swap them all. The table below shows our priliminary face-swapping results requiring o
GestureSSD CBAM - A gesture recognition web system based on SSD and CBAM, using pytorch, flask and node.js
GestureSSD_CBAM A gesture recognition web system based on SSD and CBAM, using pytorch, flask and node.js SSD implementation is based on https://github
Video2x - A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR.
Official Discussion Group (Telegram): https://t.me/video2x A Discord server is also available. Please note that most developers are only on Telegram.
Autosub - Command-line utility for auto-generating subtitles for any video file
Auto-generated subtitles for any video Autosub is a utility for automatic speech recognition and subtitle generation. It takes a video or an a
Tensorflow-Project-Template - A best practice for tensorflow project template architecture.
Tensorflow Project Template A simple and well designed structure is essential for any Deep Learning project, so after a lot of practice and contributi
Non-Attentive-Tacotron - This is Pytorch Implementation of Google's Non-attentive Tacotron.
Non-attentive Tacotron - PyTorch Implementation This is Pytorch Implementation of Google's Non-attentive Tacotron, text-to-speech system. There is som
Repositรณrio criado para abrigar os notebooks com a listas de exercรญcios propostos pelo professor Gustavo Guanabara do canal Curso em Vรญdeo do YouTube durante o Curso de Python 3
Curso em Vรญdeo - Exercรญcios de Python 3 Sobre o repositรณrio Este repositรณrio contรฉm os notebooks com a listas de exercรญcios propostos pelo professor G
Public repository containing materials used for Feed Forward (FF) Neural Networks article.
Art041_NN_Feed_Forward Public repository containing materials used for Feed Forward (FF) Neural Networks article. -- Illustration of a very simple Fee
Videocaptioning.pytorch - A simple implementation of video captioning
pytorch implementation of video captioning recommend installing pytorch and pyth
Cancer-and-Tumor-Detection-Using-Inception-model - In this repo i am gonna show you how i did cancer/tumor detection in lungs using deep neural networks, specifically here the Inception model by google.
Cancer-and-Tumor-Detection-Using-Inception-model In this repo i am gonna show you how i did cancer/tumor detection in lungs using deep neural networks
Omdena-abuja-anpd - Automatic Number Plate Detection for the security of lives and properties using Computer Vision.
Omdena-abuja-anpd - Automatic Number Plate Detection for the security of lives and properties using Computer Vision.
BRNet - code for Automated assessment of BI-RADS categories for ultrasound images using multi-scale neural networks with an order-constrained loss function
BRNet code for "Automated assessment of BI-RADS categories for ultrasound images using multi-scale neural networks with an order-constrained loss func
CS5242_2021 - Neural Networks and Deep Learning, NUS CS5242, 2021
CS5242_2021 Neural Networks and Deep Learning, NUS CS5242, 2021 Cloud Machine #1 : Google Colab (Free GPU) Follow this Notebook installation : https:/
YouTube-Video-Downloader - Download Youtube Videos for free.
YouTube-Video-Downloader Download Youtube Videos for free. Installing Dependencies:- Windows pip install pytube Mac/Linux pip3 install pytube Clonin
IDCARD-VERIFYING-SYSTEM - The "IDCARD VERIFYING SYSTEM" uses the Google's latest version of Tesseract OCR[Optical Character Recognition]
IDCARD VERIFYING SYSTEM The "IDCARD VERIFYING SYSTEM" uses the Google's latest v
Siamese-nn-semantic-text-similarity - A repository containing comprehensive Neural Networks based PyTorch implementations for the semantic text similarity task
Siamese Deep Neural Networks for Semantic Text Similarity PyTorch A repository c
HAR-stacked-residual-bidir-LSTMs - Deep stacked residual bidirectional LSTMs for HAR
HAR-stacked-residual-bidir-LSTM The project is based on this repository which is presented as a tutorial. It consists of Human Activity Recognition (H
Self Governing Neural Networks (SGNN): the Projection Layer
Self Governing Neural Networks (SGNN): the Projection Layer A SGNN's word projections preprocessing pipeline in scikit-learn In this notebook, we'll u
Neural-fractal - Create Fractals Using Complex-Valued Neural Networks!
Neural Fractal Create Fractals Using Complex-Valued Neural Networks! Home Page Features Define Dynamical Systems Using Complex-Valued Neural Networks
SpecAugmentPyTorch - A Pytorch (support batch and channel) implementation of GoogleBrain's SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
SpecAugment An implementation of SpecAugment for Pytorch How to use Install pytorch, version=1.9.0 (new feature (torch.Tensor.take_along_dim) is used
Face-Recognition-based-Attendance-System - An implementation of Attendance System in python.
Face-Recognition-based-Attendance-System A real time implementation of Attendance System in python. Pre-requisites To understand the implentation of F
Face_mosaic - Mosaic blur processing is applied to multiple faces appearing in the video
ๅๆฉ face_recognitionใไฝฟ็จใใฆๅพใใใ้กๅบงๆจใฏ้ทๆนๅฝขใงใใใใใฎๅบงๆจใใใฎใพใพ็จใใฆใผใใๅฆ็ใ่กใฃใๅ ดๅๅพใใใ็ปๅใฏ้ใใ ใใใซๅฏพใใฆใข
A Survey on Deep Learning Technique for Video Segmentation
A Survey on Deep Learning Technique for Video Segmentation A Survey on Deep Learning Technique for Video Segmentation Wenguan Wang, Tianfei Zhou, Fati
โRobust Lightweight Facial Expression Recognition Network with Label Distribution Trainingโ, AAAI 2021.
EfficientFace Zengqun Zhao, Qingshan Liu, Feng Zhou. "Robust Lightweight Facial Expression Recognition Network with Label Distribution Training". AAAI
Python implementation of "Multi-Instance Pose Networks: Rethinking Top-Down Pose Estimation"
MIPNet: Multi-Instance Pose Networks This repository is the official pytorch python implementation of "Multi-Instance Pose Networks: Rethinking Top-Do
A state-of-the-art semi-supervised method for image recognition
Mean teachers are better role models Paper ---- NIPS 2017 poster ---- NIPS 2017 spotlight slides ---- Blog post By Antti Tarvainen, Harri Valpola (The
Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation.
Training Script for Reuse-VOS This code implementation of CVPR 2021 paper : Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Vi
CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing
CapsuleVOS This is the code for the ICCV 2019 paper CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing. Arxiv Link: https://a