zdyshine / Awesome-Vision-Attentions

Summary of related papers on visual attention

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

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πŸ”₯ (citations > 200)

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Channel attention

  • Squeeze-and-Excitation Networks (CVPR 2018) pdf, (PAMI2019 version) pdf πŸ”₯
  • Image superresolution using very deep residual channel attention networks (ECCV2018) pdf πŸ”₯
  • Context encoding for semantic segmentation(CVPR2018) pdf πŸ”₯
  • 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 πŸ”₯
  • Spsequencenet: Semantic segmentation network on 4d point clouds(CVPR2020) pdf
  • Ecanet: Efficient channel attention for deep convolutional neural networks (CVPR2020) pdf πŸ”₯
  • Gated channel transformation for visual recognition(CVPR2020) pdf
  • Fcanet: Frequency channel attention networks(ICCV2021) pdf

Spatial attention

  • Recurrent models of visual attention(NIPS2014), pdf πŸ”₯
  • Show, attend and tell: Neural image caption generation with visual attention(PMLR2015) pdf πŸ”₯
  • Draw: A recurrent neural network for image generation(ICML 2015) pdf πŸ”₯
  • Spatial transformer networks(NIPS2015) pdf πŸ”₯
  • Multiple object recognition with visual attention(ICLR2015) pdf πŸ”₯
  • Action recognition using visual attention(arXiv 2015) pdf πŸ”₯
  • Videolstm convolves, attends and flows for action recognition(arXiv 2016) pdf πŸ”₯
  • Look closer to see better: Recurrent attention convolutional neural network for fine-grained image recognition(CVPR2017) pdf πŸ”₯
  • Learning multi-attention convolutional neural network for fine-grained image recognition(ICCV2017) pdf πŸ”₯
  • Diversified visual attention networks for fine-grained object classification(TMM2017) pdf πŸ”₯
  • Attentional pooling for action recognition(NIPS2017) pdf πŸ”₯
  • Non-local neural networks(CVPR2018) pdf πŸ”₯
  • Attentional shapecontextnet for point cloud recognition(CVPR2018) pdf
  • Relation networks for object detection(CVPR2018) pdf πŸ”₯
  • a2-nets: Double attention networks(NIPS2018) pdf πŸ”₯
  • Attention-aware compositional network for person re-identification(CVPR2018) pdf πŸ”₯
  • Tell me where to look: Guided attention inference network(CVPR2018) pdf πŸ”₯
  • Pedestrian alignment network for large-scale person re-identification(TCSVT2018) pdf πŸ”₯
  • Psanet: Point-wise spatial attention network for scene parsing(ECCV2018) pdf πŸ”₯
  • Self attention generative adversarial networks(ICML2019) pdf πŸ”₯
  • Attentional pointnet for 3d-object detection in point clouds(CVPRW2019) pdf
  • Co-occurrent features in semantic segmentation(CVPR2019) pdf
  • Attention augmented convolutional networks(ICCV2019) pdf πŸ”₯
  • 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 πŸ”₯
  • Gcnet: Non-local networks meet squeeze-excitation networks and beyond(ICCVW2019) pdf πŸ”₯
  • Asymmetric non-local neural networks for semantic segmentation(ICCV2019) pdf πŸ”₯
  • 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 πŸ”₯
  • End-to-end comparative attention networks for person re-identification(ICCV2019) pdf πŸ”₯
  • 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 πŸ”₯
  • 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 πŸ”₯
  • 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 πŸ”₯
  • An empirical study of training selfsupervised vision transformers(CVPR2021) pdf
  • Ocnet: Object context network for scene parsing(IJCV 2021) pdf πŸ”₯
  • 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 selfattention: 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 πŸ”₯
  • 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, (NIPS 2015) pdf πŸ”₯
  • Selective kernel networks,(CVPR 2019) pdf πŸ”₯
  • CondConv: Conditionally Parameterized Convolutions for Efficient Inference (NIPS 2019) pdf
  • Dynamic convolution: Attention over convolution kernels (CVPR 2020) pdf
  • ResNest: Split-attention networks (arXiv 2020) pdf πŸ”₯

ChannelSpatial attention

  • Residual attention network for image classification (CVPR 2017) pdf πŸ”₯
  • SCA-CNN: spatial and channel-wise attention in convolutional networks for image captioning,(CVPR 2017) pdf πŸ”₯
  • CBAM: convolutional block attention module, (ECCV 2018) pdf πŸ”₯
  • Harmonious attention network for person re-identification (CVPR 2018) pdf πŸ”₯
  • Recalibrating fully convolutional networks with spatial and channel β€œsqueeze and excitation” blocks (TMI 2018) pdf
  • Mancs: A multi-task attentional network with curriculum sampling for person re-identification (ECCV 2018) pdf πŸ”₯
  • Bam: Bottleneck attention module(BMVC 2018) pdf πŸ”₯
  • 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 πŸ”₯
  • 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 πŸ”₯
  • Diversity regularized spatiotemporal attention for video-based person re-identification (ArXiv 2018) πŸ”₯
  • Interpretable spatio-temporal attention for video action recognition (ICCVW 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
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Summary of related papers on visual attention