WXinlong / DenseCL
Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.
☆547Updated 10 months ago
Related projects ⓘ
Alternatives and complementary repositories for DenseCL
- Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning, CVPR 2021☆332Updated 3 years ago
- This is an official implementation for "Self-Supervised Learning with Swin Transformers".☆627Updated 3 years ago
- Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorch☆252Updated 3 years ago
- ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation☆667Updated 2 years ago
- ConvMAE: Masked Convolution Meets Masked Autoencoders☆484Updated last year
- [CVPR 2022 Oral] Crafting Better Contrastive Views for Siamese Representation Learning☆284Updated 2 years ago
- Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"☆425Updated last year
- This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".☆927Updated 2 years ago
- This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight)☆450Updated 3 years ago
- ☆189Updated last year
- EsViT: Efficient self-supervised Vision Transformers☆408Updated last year
- [NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"☆545Updated 2 years ago
- CVPR2022 (Oral) - Rethinking Semantic Segmentation: A Prototype View☆347Updated 2 years ago
- An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.☆583Updated 3 years ago
- ☆270Updated 3 years ago
- A PyTorch-based Semi-Supervised Learning (SSL) Codebase for Pixel-wise (Pixel) Vision Tasks [ECCV 2020]☆290Updated 3 years ago
- Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)☆1,354Updated 2 years ago
- (ICCV 2021 Oral) CoaT: Co-Scale Conv-Attentional Image Transformers☆228Updated 2 years ago
- Self-supervised vIsion Transformer (SiT)☆325Updated last year
- [TPAMI 2023, NeurIPS 2020] Code release for "Deep Multimodal Fusion by Channel Exchanging"☆292Updated 4 months ago
- iBOT : Image BERT Pre-Training with Online Tokenizer (ICLR 2022)☆679Updated 2 years ago
- CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped, CVPR 2022☆547Updated last year
- This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"☆193Updated last year
- reproduction of semantic segmentation using masked autoencoder (mae)☆156Updated 2 years ago
- IJCAI2020 & IJCV2021 Unsupervised Scene Adaptation with Memory Regularization in vivo☆386Updated 10 months ago
- Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones☆199Updated 3 years ago
- [NeurIPS 2021] [T-PAMI] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification☆572Updated last year
- Official Codes for "Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality"☆238Updated last year
- PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057☆1,218Updated 2 years ago
- [TPAMI 2022 & CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers☆477Updated last year