JDAI-CV / CoTNetLinks
This is an official implementation for "Contextual Transformer Networks for Visual Recognition".
☆532Updated 3 years ago
Alternatives and similar repositories for CoTNet
Users that are interested in CoTNet are comparing it to the libraries listed below
Sorting:
- Bottleneck Transformers for Visual Recognition☆278Updated 4 years ago
- This is an official implementation for "ResT: An Efficient Transformer for Visual Recognition".☆285Updated 2 years ago
- [ECCV 2022] Source code of "EdgeFormer: Improving Light-weight ConvNets by Learning from Vision Transformers"☆353Updated 2 years ago
- Official repository of ACmix (CVPR2022)☆415Updated 3 years ago
- CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped, CVPR 2022☆569Updated last year
- [NeurIPS 2022] HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions☆336Updated last year
- [ICCV 2021] Code for approximated exponential maximum pooling☆294Updated 2 years ago
- Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]☆422Updated 3 months ago
- Code for our ICASSP 2021 paper: SA-Net: Shuffle Attention for Deep Convolutional Neural Networks☆262Updated 4 years ago
- Two simple and effective designs of vision transformer, which is on par with the Swin transformer☆601Updated 2 years ago
- Code for our CVPR2021 paper coordinate attention☆1,057Updated 3 years ago
- Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"☆427Updated last year
- The official PyTorch implementation of CVPR 2020 paper "Improving Convolutional Networks with Self-Calibrated Convolutions"☆385Updated 5 years ago
- Official MegEngine implementation of RepLKNet☆275Updated 3 years ago
- Diverse Branch Block: Building a Convolution as an Inception-like Unit☆337Updated 2 years ago
- This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.☆227Updated 2 years ago
- The official pytorch implemention of our ICML-2021 paper "SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Netwo…☆442Updated 2 years ago
- FcaNet: Frequency Channel Attention Networks☆548Updated 4 years ago
- FcaNet: Frequency Channel Attention Networks☆279Updated 4 years ago
- Implementation of the Swin Transformer in PyTorch.☆830Updated 4 years ago
- TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation, CVPR2022☆395Updated 2 years ago
- This is an official implementation of "Polarized Self-Attention: Towards High-quality Pixel-wise Regression"☆255Updated 3 years ago
- Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)☆909Updated last year
- [NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"☆556Updated 3 years ago
- This is an official implementation for "Self-Supervised Learning with Swin Transformers".☆656Updated 4 years ago
- ☆803Updated 2 years ago
- Simple implementation of Mobile-Former on Pytorch☆108Updated 3 years ago
- Official code for Conformer: Local Features Coupling Global Representations for Visual Recognition☆569Updated 3 years ago
- ☆304Updated 3 years ago
- RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality (CVPR 2022)☆306Updated 2 years ago