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

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

🔥 (citations > 200)

• TODO : Code about different attention mechanisms will come soon.
• TODO : Code link will come soon.
• TODO : collect more related papers. Contributions are welcome.

Channel attention

• Squeeze-and-Excitation Networks(CVPR2018) pdf, (PAMI2019 version) pdf 🔥
• Image superresolution using very deep residual channel attention networks(ECCV2018) pdf 🔥
• Context encoding for semantic segmentation(CVPR2018) pdf 🔥
• Spatio-temporal channel correlation networks for action classification(ECCV2018) pdf
• Global second-order pooling convolutional networks(CVPR2019) pdf
• Srm : A style-based recalibration module for convolutional neural networks(ICCV2019) pdf
• You look twice: Gaternet for dynamic filter selection in cnns(CVPR2019) pdf
• Second-order attention network for single image super-resolution(CVPR2019) pdf 🔥
• Spsequencenet: Semantic segmentation network on 4d point clouds(CVPR2020) pdf
• Ecanet: Efficient channel attention for deep convolutional neural networks (CVPR2020) pdf 🔥
• Gated channel transformation for visual recognition(CVPR2020) pdf
• Fcanet: Frequency channel attention networks(ICCV2021) pdf

Spatial attention

• Recurrent models of visual attention(NeurIPS2014), pdf 🔥
• Show, attend and tell: Neural image caption generation with visual attention(PMLR2015) pdf 🔥
• Draw: A recurrent neural network for image generation(ICML2015) pdf 🔥
• Spatial transformer networks(NeurIPS2015) pdf 🔥
• Multiple object recognition with visual attention(ICLR2015) pdf 🔥
• Action recognition using visual attention(arXiv2015) pdf 🔥
• Videolstm convolves, attends and flows for action recognition(arXiv2016) pdf 🔥
• Look closer to see better: Recurrent attention convolutional neural network for fine-grained image recognition(CVPR2017) pdf 🔥
• Learning multi-attention convolutional neural network for fine-grained image recognition(ICCV2017) pdf 🔥
• Diversified visual attention networks for fine-grained object classification(TMM2017) pdf 🔥
• High-Order Attention Models for Visual Question Answering (NIPS2017) pdf
• Attentional pooling for action recognition(NeurIPS2017) pdf 🔥
• Non-local neural networks(CVPR2018) pdf 🔥
• Attentional shapecontextnet for point cloud recognition(CVPR2018) pdf
• Relation networks for object detection(CVPR2018) pdf 🔥
• a2-nets: Double attention networks(NeurIPS2018) pdf 🔥
• Attention-aware compositional network for person re-identification(CVPR2018) pdf 🔥
• Tell me where to look: Guided attention inference network(CVPR2018) pdf 🔥
• Pedestrian alignment network for large-scale person re-identification(TCSVT2018) pdf 🔥
• Learn to pay attention(ICLR2018) pdf 🔥
• Attention U-Net: Learning Where to Look for the Pancreas(MIDL2018) pdf 🔥
• Psanet: Point-wise spatial attention network for scene parsing(ECCV2018) pdf 🔥
• Self attention generative adversarial networks(ICML2019) pdf 🔥
• Attentional pointnet for 3d-object detection in point clouds(CVPRW2019) pdf
• Co-occurrent features in semantic segmentation(CVPR2019) pdf
• Factor Graph Attention(CVPR2019) pdf
• Attention augmented convolutional networks(ICCV2019) pdf 🔥
• Local relation networks for image recognition(ICCV2019) pdf
• Latentgnn: Learning efficient nonlocal relations for visual recognition(ICML2019) pdf
• Graph-based global reasoning networks(CVPR2019) pdf 🔥
• Gcnet: Non-local networks meet squeeze-excitation networks and beyond(ICCVW2019) pdf 🔥
• Asymmetric non-local neural networks for semantic segmentation(ICCV2019) pdf 🔥
• Looking for the devil in the details: Learning trilinear attention sampling network for fine-grained image recognition(CVPR2019) pdf
• Second-order non-local attention networks for person re-identification(ICCV2019) pdf 🔥
• End-to-end comparative attention networks for person re-identification(ICCV2019) pdf 🔥
• Modeling point clouds with self-attention and gumbel subset sampling(CVPR2019) 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(PMLR2020) pdf
• Exploring self-attention for image recognition(CVPR2020) pdf
• Cf-sis: Semantic-instance segmentation of 3d point clouds by context fusion with self attention(MM20) pdf
• Disentangled non-local neural networks(ECCV2020) pdf
• Relation-aware global attention for person re-identification(CVPR2020) pdf
• Segmentation transformer: Object-contextual representations for semantic segmentation(ECCV2020) pdf 🔥
• Spatial pyramid based graph reasoning for semantic segmentation(CVPR2020) pdf
• Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation(CVPR2020) pdf
• End-to-end object detection with transformers(ECCV2020) pdf 🔥
• Pointasnl: Robust point clouds processing using nonlocal neural networks with adaptive sampling(CVPR2020) pdf
• Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers(CVPR2021) pdf
• An image is worth 16x16 words: Transformers for image recognition at scale(ICLR2021) pdf 🔥
• Is Attention Better Than Matrix Decomposition? (ICLR2021) pdf
• An empirical study of training selfsupervised vision transformers(CVPR2021) 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_link
• 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