This repo is built for paper: Attention Mechanisms in Computer Vision: A Survey paper

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Citation

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@article{guo2022attention,
  title={Attention mechanisms in computer vision: A survey},
  author={Guo, Meng-Hao and Xu, Tian-Xing and Liu, Jiang-Jiang and Liu, Zheng-Ning and Jiang, Peng-Tao and Mu, Tai-Jiang and Zhang, Song-Hai and Martin, Ralph R and Cheng, Ming-Ming and Hu, Shi-Min},
  journal={Computational Visual Media},
  pages={1--38},
  year={2022},
  publisher={Springer}
}

• Vision-Attention-Papers
• Channel attention
• Spatial attention
• Temporal attention
• Branch attention
• Channel \& Spatial attention

• Spatial \& Temporal attention

• Codes about different attention mechanisms based on Jittor are released now

• TODO : collect more related papers. Contributions are welcome.

🔥 (citations > 200)

Channel attention

• Squeeze-and-Excitation Networks (CVPR 2018) pdf, (PAMI2019 version) pdf 🔥
• Image superresolution using very deep residual channel attention networks (ECCV 2018) pdf 🔥
• Context encoding for semantic segmentation (CVPR 2018) pdf 🔥
• Spatio-temporal channel correlation networks for action classification (ECCV 2018) pdf
• Global second-order pooling convolutional networks (CVPR 2019) pdf
• Srm : A style-based recalibration module for convolutional neural networks (ICCV 2019) pdf
• You look twice: Gaternet for dynamic filter selection in cnns (CVPR 2019) pdf
• Second-order attention network for single image super-resolution (CVPR 2019) pdf 🔥
• DIANet: Dense-and-Implicit Attention Network (AAAI 2020)pdf
• 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

Spatial attention

• 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 🔥
• High-Order Attention Models for Visual Question Answering (NeurIPS 2017) pdf
• Attentional pooling for action recognition (NeurIPS 2017) pdf 🔥
• Non-local neural networks (CVPR 2018) pdf 🔥
• Attentional shapecontextnet for point cloud recognition (CVPR 2018) pdf
• Relation networks for object detection (CVPR 2018) pdf 🔥
• 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 🔥
• Pedestrian alignment network for large-scale person re-identification (TCSVT 2018) pdf 🔥
• Learn to pay attention (ICLR 2018) pdf 🔥
• 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
• Co-occurrent features in semantic segmentation (CVPR 2019) pdf
• Factor Graph Attention (CVPR 2019) pdf
• Attention augmented convolutional networks (ICCV 2019) pdf 🔥
• Local relation networks for image recognition (ICCV 2019) pdf
• Latentgnn: Learning efficient nonlocal relations for visual recognition(ICML 2019) pdf
• Graph-based global reasoning networks (CVPR 2019) pdf 🔥
• 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
• L2g autoencoder: Understanding point clouds by local-to-global reconstruction with hierarchical self-attention (arXiv 2019) pdf
• Generative pretraining from pixels (PMLR 2020) pdf
• 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
• Disentangled non-local neural networks (ECCV 2020) pdf
• Relation-aware global attention for person re-identification (CVPR 2020) pdf
• Segmentation transformer: Object-contextual representations for semantic segmentation (ECCV 2020) pdf 🔥
• Spatial pyramid based graph reasoning for semantic segmentation (CVPR 2020) pdf
• Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation (CVPR 2020) pdf
• End-to-end object detection with transformers (ECCV 2020) pdf 🔥
• Pointasnl: Robust point clouds processing using nonlocal neural networks with adaptive sampling (CVPR 2020) pdf
• Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers (CVPR 2021) pdf
• An image is worth 16x16 words: Transformers for image recognition at scale (ICLR 2021) pdf 🔥
• Is Attention Better Than Matrix Decomposition? (ICLR 2021) pdf
• 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
• Pre-trained image processing transformer (CVPR 2021) pdf
• 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
• Beit: Bert pre-training of image transformers (arxiv 2021) pdf
• Beyond Self-attention: External attention using two linear layers for visual tasks (arxiv 2021) pdf
• Query2label: A simple transformer way to multi-label classification (arxiv 2021) pdf
• Transformer in transformer (arxiv 2021) pdf

Temporal attention

• Jointly attentive spatial-temporal pooling networks for video-based person re-identification (ICCV 2017) pdf 🔥
• Video person reidentification with competitive snippet-similarity aggregation and co-attentive snippet embedding (CVPR 2018) pdf
• Scan: Self-and-collaborative attention network for video person re-identification (TIP 2019) pdf

Branch attention

• Training very deep networks (NeurIPS 2015) pdf 🔥
• Selective kernel networks (CVPR 2019) pdf 🔥
• CondConv: Conditionally Parameterized Convolutions for Efficient Inference (NeurIPS 2019) pdf
• Dynamic convolution: Attention over convolution kernels (CVPR 2020) pdf
• ResNest: Split-attention networks (arXiv 2020) pdf 🔥

Channel+Spatial attention

• 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 🔥
• Recalibrating fully convolutional networks with spatial and channel “squeeze and excitation” blocks (TMI 2018) pdf
• Mancs: A multi-task attentional network with curriculum sampling for person re-identification (ECCV 2018) pdf 🔥
• Bam: Bottleneck attention module(BMVC 2018) pdf 🔥
• Pvnet: A joint convolutional network of point cloud and multi-view for 3d shape recognition (ACM MM 2018) pdf
• Learning what and where to attend (ICLR 2019) pdf
• Dual attention network for scene segmentation (CVPR 2019) [pdf](https://openaccess.thecvf.com/content_C