awesome-attention-mechanism-in-cv
github.com/pprp/awesome-attention-mechanism-in-cv ↗Awesome List of Attention Modules and Plug&Play Modules in Computer Vision
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Attention MechanismDynamic NetworksPlug and Play ModuleVision Transformer
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Attention Mechanism
- A2 -FPN: Attention Aggregation based Feature Pyramid Network for Instance Segmentation
CVPR21
- $A^2\text{-}Nets$: Double Attention Networks
NeurIPS18
- All-Attention Layer
CoRR19
- An Attention Module for Convolutional Neural Networks
ICCV2021
- An Attentive Survey of Attention Models
CoRR19
- An Empirical Study of Spatial Attention Mechanisms in Deep Networks
ICCV19
Vision Transformer
- A Close Look at Spatial Modeling: From Attention to Convolution
CoRR22
- BoTNet: Bottleneck Transformers for Visual Recognition
CVPR21
- CaiT: Going deeper with Image Transformers
ICCV21
- CeiT: Incorporating Convolution Designs into Visual Transformers
CoRR21
- CoAtNet: Marrying Convolution and Attention for All Data Sizes
CoRR21
- Compact Transformers: Escaping the Big Data Paradigm with Compact Transformers
CoRR21
Plug and Play Module
- ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
ICCV19
- CondConv: Conditionally Parameterized Convolutions for Efficient Inference
NeurlPS19
- DCANet: Dense Context-Aware Network for Semantic Segmentation
ECCV20
- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
TPAMI18
- DO-Conv: Depthwise Over-parameterized Convolutional Layer
CoRR20
- Dynamic Convolution: Attention over Convolution Kernels
CVPR20
Dynamic Networks
- Dynamic Convolution: Attention over Convolution Kernels
CVPR20
- Dynamic deep neural networks: Optimizing accuracy-efficiency trade-offs by selective execution
AAAI17
- Dynamic Filter Networks
NeurlPS20
- Dynamic Neural Networks: A Survey
CoRR21
- DyNet: Dynamic Convolution for Accelerating Convolutional Neural Networks
CoRR20
- Pay Less Attention with Lightweight and Dynamic Convolutions
ICLR19
Showing a sample of 163 resources. View the full list on GitHub →