Object detection on multiple datasets with an automatically learned unified label space.
Simple multi-dataset detection An object detector trained on multiple large-scale datasets with a unified label space; Winning solution of E
Self-Learned Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence
In this paper, we address the problem of rain streaks removal in video by developing a self-learned rain streak removal method, which does not require any clean groundtruth images in the training process.
Learned image compression
Overview Pytorch code of our recent work A Unified End-to-End Framework for Efficient Deep Image Compression. We first release the code for Variationa
Learned Token Pruning for Transformers
LTP: Learned Token Pruning for Transformers Check our paper for more details. Installation We follow the same installation procedure as the original H
[ACMMM 2021 Oral] Enhanced Invertible Encoding for Learned Image Compression
InvCompress Official Pytorch Implementation for "Enhanced Invertible Encoding for Learned Image Compression", ACMMM 2021 (Oral) Figure: Our framework
a pytorch implementation of auto-punctuation learned character by character
Learning Auto-Punctuation by Reading Engadget Articles Link to Other of my work 🌟 Deep Learning Notes: A collection of my notes going from basic mult
Official code release for "Learned Spatial Representations for Few-shot Talking-Head Synthesis" ICCV 2021
Official code release for "Learned Spatial Representations for Few-shot Talking-Head Synthesis" ICCV 2021
a pytorch implementation of auto-punctuation learned character by character
Learning Auto-Punctuation by Reading Engadget Articles Link to Other of my work 🌟 Deep Learning Notes: A collection of my notes going from basic mult