Implementation of CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification

Related tags

Deep Learning classifier computer-vision transformers pytorch image-classification vision-transformers
Overview

CrossViT : Cross-Attention Multi-Scale Vision Transformer for Image Classification

This is an unofficial PyTorch implementation of CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification .

Usage :

import torch
from crossvit import CrossViT

img = torch.ones([1, 3, 224, 224])
    
model = CrossViT(image_size = 224, channels = 3, num_classes = 100)
out = model(img)

print("Shape of out :", out.shape)      # [B, num_classes]

Citation

@misc{chen2021crossvit,
      title={CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification}, 
      author={Chun-Fu Chen and Quanfu Fan and Rameswar Panda},
      year={2021},
      eprint={2103.14899},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

Acknowledgement

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Comments
  • Multilabel Image classification

    Multilabel Image classification

    @rishikksh20 thanks for sharing code base , i had few queries 1.can we train crossvit for multilabel classification problem , if so what is the procedure 2. i have a custom dataset of 10.5k with 25class labels with instance as label vectors of 0 and 1 3. can remove the pre-trained classifer head and add our customr classifier ?

    Thanks in advance

    opened by abhigoku10 0
  • About the questions in Table 7 of the article

    About the questions in Table 7 of the article

    Hello,I am very interested in your job, but there is one thing I don't understand.I would like to ask you about the comparison between the information in Table 7 of the paper and the information in Crossvit -S, the first line should be K=3,N=1,M=4 and L=1. I don't quite understand the setting in the first line of Table 7, and I feel it is inconsistent with the content mentioned in the article. Maybe I haven't understood your meaning correctly, and I hope to receive your reply.Thank you!

    opened by jessica9812 0
Owner
Rishikesh (ऋषिकेश)
Deep Learning/ AI Researcher | Open Source enthusiast | Text to Speech | Speech Synthesis | Generative Models | Object detection | Language Understanding
Rishikesh (ऋषिकेश)
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