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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)
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 🔥
ChannelSpatial 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 🔥
- Abd-net: Attentive but diverse person re-identification (ICCV 2019) pdf
- Mixed high-order attention network for person re-identification (ICCV 2019) pdf
- Mlcvnet: Multi-level context votenet for 3d object detection (CVPR 2020) pdf
- Improving convolutional networks with self-calibrated convolutions (CVPR 2020) pdf
- Relation-aware global attention for person re-identification (CVPR 2020) pdf
- Strip Pooling: Rethinking spatial pooling for scene parsing (CVPR 2020) pdf
- Rotate to attend: Convolutional triplet attention module, (WACV 2021) pdf
- Coordinate attention for efficient mobile network design (CVPR 2021) pdf
- Simam: A simple, parameter-free attention module for convolutional neural networks (ICML 2021) pdf
SpatialTemporal attention
- An end-to-end spatio-temporal attention model for human action recognition from skeleton data (AAAI 2017) pdf 🔥
- Diversity regularized spatiotemporal attention for video-based person re-identification (arXiv 2018) 🔥
- Interpretable spatio-temporal attention for video action recognition (ICCVW 2019) pdf
- A Simple Baseline for Audio-Visual Scene-Aware Dialog (CVPR 2019) pdf
- Hierarchical lstms with adaptive attention for visual captioning (TPAMI 2020) pdf
- Stat: Spatial-temporal attention mechanism for video captioning, (TMM 2020) pdf
- Gta: Global temporal attention for video action understanding (arXiv 2020) pdf
- Multi-granularity reference-aided attentive feature aggregation for video-based person re-identification (CVPR 2020) pdf
- Read: Reciprocal attention discriminator for image-to-video re-identification (ECCV 2020) pdf
- Decoupled spatial-temporal transformer for video inpainting (arXiv 2021) pdf
- Towards Coherent Visual Storytelling with Ordered Image Attention (arXiv 2021) pdf
原文：https://github.com/MenghaoGuo/Awesome-Vision-Attentions
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