This repo is built for paper: Attention Mechanisms in Computer Vision: A Survey paper
介绍该论文的中文版博客 链接
If it is helpful for your work, please cite this paper:
@misc{guo2021attention_survey,
title={Attention Mechanisms in Computer Vision: A Survey},
author={Meng-Hao Guo and Tian-Xing Xu and Jiang-Jiang Liu and Zheng-Ning Liu and Peng-Tao Jiang and Tai-Jiang Mu and Song-Hai Zhang and Ralph R. Martin and Ming-Ming Cheng and Shi-Min Hu},
year={2021},
eprint={2111.07624},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
- TODO : Code about different attention mechanisms based on Jittor will be released gradually.
- TODO : Code link will come soon.
- TODO : collect more related papers. Contributions are welcome.
🔥 (citations > 200)
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- Spsequencenet: Semantic segmentation network on 4d point clouds (CVPR 2020) pdf
- Ecanet: Efficient channel attention for deep convolutional neural networks (CVPR 2020) pdf 🔥
- Gated channel transformation for visual recognition (CVPR2020) pdf
- Fcanet: Frequency channel attention networks (ICCV 2021) pdf
- Recurrent models of visual attention (NeurIPS 2014), pdf 🔥
- Show, attend and tell: Neural image caption generation with visual attention (PMLR 2015) pdf 🔥
- Draw: A recurrent neural network for image generation (ICML 2015) pdf 🔥
- Spatial transformer networks (NeurIPS 2015) pdf 🔥
- Multiple object recognition with visual attention (ICLR 2015) pdf 🔥
- Action recognition using visual attention (arXiv 2015) pdf 🔥
- Videolstm convolves, attends and flows for action recognition (arXiv 2016) pdf 🔥
- Look closer to see better: Recurrent attention convolutional neural network for fine-grained image recognition (CVPR 2017) pdf 🔥
- Learning multi-attention convolutional neural network for fine-grained image recognition (ICCV 2017) pdf 🔥
- Diversified visual attention networks for fine-grained object classification (TMM 2017) pdf 🔥
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- a2-nets: Double attention networks (NeurIPS 2018) pdf 🔥
- Attention-aware compositional network for person re-identification (CVPR 2018) pdf 🔥
- Tell me where to look: Guided attention inference network (CVPR 2018) pdf 🔥
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- Attention U-Net: Learning Where to Look for the Pancreas (MIDL 2018) pdf 🔥
- Psanet: Point-wise spatial attention network for scene parsing (ECCV 2018) pdf 🔥
- Self attention generative adversarial networks (ICML 2019) pdf 🔥
- Attentional pointnet for 3d-object detection in point clouds (CVPRW 2019) pdf
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- Gcnet: Non-local networks meet squeeze-excitation networks and beyond (ICCVW 2019) pdf 🔥
- Asymmetric non-local neural networks for semantic segmentation (ICCV 2019) pdf 🔥
- Looking for the devil in the details: Learning trilinear attention sampling network for fine-grained image recognition (CVPR 2019) pdf
- Second-order non-local attention networks for person re-identification (ICCV 2019) pdf 🔥
- End-to-end comparative attention networks for person re-identification (ICCV 2019) pdf 🔥
- Modeling point clouds with self-attention and gumbel subset sampling (CVPR 2019) pdf
- Diagnose like a radiologist: Attention guided convolutional neural network for thorax disease classification (arXiv 2019) pdf
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- Exploring self-attention for image recognition (CVPR 2020) pdf
- Cf-sis: Semantic-instance segmentation of 3d point clouds by context fusion with self attention (ACM MM 20) pdf
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- An empirical study of training selfsupervised vision transformers (CVPR 2021) pdf
- Ocnet: Object context network for scene parsing (IJCV 2021) pdf 🔥
- Point transformer (ICCV 2021) pdf
- PCT: Point Cloud Transformer (CVMJ 2021) pdf
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- An empirical study of training self-supervised vision transformers (ICCV 2021) pdf
- Segformer: Simple and efficient design for semantic segmentation with transformers (arxiv 2021) pdf
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- ResNest: Split-attention networks (arXiv 2020) pdf 🔥
- Residual attention network for image classification (CVPR 2017) pdf 🔥
- SCA-CNN: spatial and channel-wise attention in convolutional networks for image captioning (CVPR 2017) pdf 🔥
- CBAM: convolutional block attention module (ECCV 2018) pdf 🔥
- Harmonious attention network for person re-identification (CVPR 2018) pdf 🔥
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