PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers

Related tags

Deep Learning computer-vision transformers cnn pytorch classification image-classification convolution
Overview

CvT: Introducing Convolutions to Vision Transformers

Pytorch implementation of CvT: Introducing Convolutions to Vision Transformers

Usage:

img = torch.ones([1, 3, 224, 224])

model = CvT(224, 3, 1000)

parameters = filter(lambda p: p.requires_grad, model.parameters())
parameters = sum([np.prod(p.size()) for p in parameters]) / 1_000_000
print('Trainable Parameters: %.3fM' % parameters)

out = model(img)

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

Citation:

@misc{wu2021cvt,
      title={CvT: Introducing Convolutions to Vision Transformers}, 
      author={Haiping Wu and Bin Xiao and Noel Codella and Mengchen Liu and Xiyang Dai and Lu Yuan and Lei Zhang},
      year={2021},
      eprint={2103.15808},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

Acknowledgement:

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Comments
  • Implementation of convolutional projection

    Implementation of convolutional projection

    hi, @rishikksh20

    Thank you for your quick implementation!

    I notice that your depth-wise separable convolution is implemented as depth-wise conv --> point-wise conv. In the paper, CvT's depth-wise seprable convolution is implemented as depth-wise conv --> bn --> point-wise conv. image

    opened by leoxiaobin 7
  • Implementation of attention module

    Implementation of attention module

    Hi nice implementation for CvT

    Here I have a question is in paper, they use squeezed convolution for computing attention

    image

    here the stride of q k v is different。

    But in your code, it seems like each attention module use stride as 1

    opened by MARD1NO 1
  • Convolution projection

    Convolution projection

    Hi,I have a question as followed:In the paper,the stride of depthwise convolution in convolution projection is 2,but in your repo stride is 1,I want to know stride is 2 or 1? thanks!

    opened by qdd1234 0
Owner
Rishikesh (ऋषिकेश)
Deep Learning/ AI Researcher | Open Source enthusiast | Text to Speech | Speech Synthesis | Generative Models | Object detection | Language Understanding
Rishikesh (ऋषिकेश)
GitHub
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