WXinlong / DenseCLLinks
Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.
☆560Updated last year
Alternatives and similar repositories for DenseCL
Users that are interested in DenseCL are comparing it to the libraries listed below
Sorting:
- This is an official implementation for "Self-Supervised Learning with Swin Transformers".☆656Updated 4 years ago
- ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation☆681Updated 2 years ago
- Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning, CVPR 2021☆353Updated 3 years ago
- ConvMAE: Masked Convolution Meets Masked Autoencoders☆507Updated 2 years ago
- This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight)☆456Updated 4 years ago
- CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped, CVPR 2022☆570Updated last year
- [CVPR 2022 Oral] Crafting Better Contrastive Views for Siamese Representation Learning☆287Updated 2 years ago
- Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorch☆259Updated 4 years ago
- Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"☆428Updated last year
- Two simple and effective designs of vision transformer, which is on par with the Swin transformer☆601Updated 2 years ago
- Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation, CVPR 2020 (Oral)☆546Updated last year
- This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".☆980Updated 2 years ago
- Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)☆287Updated last year
- A PyTorch-based Semi-Supervised Learning (SSL) Codebase for Pixel-wise (Pixel) Vision Tasks [ECCV 2020]☆290Updated 4 years ago
- CVPR2022 (Oral) - Rethinking Semantic Segmentation: A Prototype View☆367Updated 2 years ago
- An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.☆590Updated 4 years ago
- ☆190Updated 2 years ago
- Bottleneck Transformers for Visual Recognition☆278Updated 4 years ago
- EsViT: Efficient self-supervised Vision Transformers☆413Updated last year
- IJCAI2020 & IJCV2021 Unsupervised Scene Adaptation with Memory Regularization in vivo☆391Updated last year
- Official Codes for "Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality"☆242Updated 2 years ago
- Self-supervised vIsion Transformer (SiT)☆332Updated 2 years ago
- [NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"☆556Updated 3 years ago
- [CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers☆1,081Updated 9 months ago
- This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"☆197Updated 2 years ago
- Fourier Domain Adaptation for Semantic Segmentation☆518Updated 4 years ago
- reproduction of semantic segmentation using masked autoencoder (mae)☆165Updated 3 years ago
- [CVPR 2021] CPS: Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision☆523Updated 2 years ago
- This is an official implementation for "ResT: An Efficient Transformer for Visual Recognition".☆285Updated 2 years ago
- Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorc…☆305Updated 3 years ago