csrhddlam / axial-deeplab
This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight)
☆451Updated 3 years ago
Alternatives and similar repositories for axial-deeplab:
Users that are interested in axial-deeplab are comparing it to the libraries listed below
- Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.☆555Updated last year
- Self-supervised vIsion Transformer (SiT)☆326Updated 2 years ago
- [CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers☆1,060Updated 5 months ago
- This is an official implementation for "Self-Supervised Learning with Swin Transformers".☆640Updated 3 years ago
- This is the code for the NeurIPS 2019 paper Region Mutual Information Loss for Semantic Segmentation.☆271Updated last month
- PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks☆318Updated 4 years ago
- [NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"☆549Updated 2 years ago
- Bottleneck Transformers for Visual Recognition☆275Updated 3 years ago
- Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.☆592Updated 4 years ago
- Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation, CVPR 2020 (Oral)☆542Updated last year
- Implementing Stand-Alone Self-Attention in Vision Models using Pytorch☆455Updated 5 years ago
- PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers☆227Updated 3 years ago
- (ICCV 2021 Oral) CoaT: Co-Scale Conv-Attentional Image Transformers☆231Updated 3 years ago
- Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorch☆257Updated 4 years ago
- ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation☆672Updated 2 years ago
- Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning, CVPR 2021☆343Updated 3 years ago
- Semi-Supervised Semantic Segmentation with Cross-Consistency Training (CVPR 2020).☆397Updated 2 years ago
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale☆289Updated 3 years ago
- Exploring Self-attention for Image Recognition, CVPR2020.☆751Updated 4 years ago
- Code for the Convolutional Vision Transformer (ConViT)☆466Updated 3 years ago
- Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorc…☆305Updated 3 years ago
- Single-Stage Semantic Segmentation from Image Labels (CVPR 2020)☆380Updated 3 years ago
- PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss☆333Updated 3 years ago
- Implementation of Bottleneck Transformer in Pytorch☆676Updated 3 years ago
- Two simple and effective designs of vision transformer, which is on par with the Swin transformer☆597Updated 2 years ago
- Implementation for paper: Feature Pyramid Transformer☆402Updated 3 years ago
- Source code and model GALD net (BMVC-2019) and Dual-Seg Net (BMVC-2019)☆345Updated 3 years ago
- Code for our CVPR2020 paper "Strip Pooling: Rethinking Spatial Pooling for Scene Parsing"☆396Updated 4 years ago
- CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped, CVPR 2022☆556Updated last year
- Pytorch version of Vision Transformer (ViT) with pretrained models. This is part of CASL (https://casl-project.github.io/) and ASYML proj…☆349Updated 4 years ago