valeoai / MOCALinks
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments
☆13Updated last year
Alternatives and similar repositories for MOCA
Users that are interested in MOCA are comparing it to the libraries listed below
Sorting:
- Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]☆39Updated 3 years ago
- An extremely simple method for validation-free efficient adaptation of CLIP-like VLMs that is robust to the learning rate.☆25Updated 3 months ago
- ☆13Updated 3 years ago
- Official Pytorch implementation of the paper: "Locally Shifted Attention With Early Global Integration"☆15Updated 3 years ago
- PyTorch implementation of Refine and Represent: Region-to-Object Representation Learning.☆21Updated last month
- This is the official pytorch implementation for the paper: Instance Similarity Learning for Unsupervised Feature Representation.☆21Updated 3 years ago
- Code for Point-Level Regin Contrast (https//arxiv.org/abs/2202.04639)☆35Updated 2 years ago
- ☆13Updated 3 years ago
- 🔥Benchmarking Unsupervised Obj Seg (NeurIPS 2022 & IJCV 2024)☆36Updated 9 months ago
- Pytorch Implementation of CLIP-Lite | Accepted at AISTATS 2023☆13Updated 2 years ago
- ☆36Updated 2 years ago
- Implementation of "Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning" WACV 2023.☆25Updated last year
- Official code for `Visual Attention Emerges from Recurrent Sparse Reconstruction' (ICML 2022)☆36Updated 3 years ago
- CatMAE☆14Updated last year
- Official code for the paper: "A Closer Look at Self-training for Zero-Label Semantic Segmentation" https://arxiv.org/abs/2104.11692☆25Updated 3 years ago
- Anytime Dense Prediction with Confidence Adaptivity (ICLR 2022)☆51Updated 10 months ago
- Code for the paper Self-Supervised Learning of Split Invariant Equivariant Representations☆28Updated last year
- Official code for the paper "Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks".☆16Updated 3 years ago
- Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.☆23Updated 3 years ago
- ☆34Updated 2 years ago
- [NeurIPS 2024, spotlight] Multivariate Learned Adaptive Noise for Diffusion Models☆23Updated 7 months ago
- A Benchmark for Efficient and Compositional Visual Reasoning☆25Updated last year
- Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning☆20Updated 3 years ago
- ☆62Updated 2 years ago
- [ECCV 2024] This is the official implementation of "Stitched ViTs are Flexible Vision Backbones".☆27Updated last year
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Updated last year
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆26Updated last year
- PyTorch implementation of the paper "No reason for no supervision: Improving the generalization of supervised models"☆18Updated 2 years ago
- Source code for the Nature Machine Intelligence paper: When and how convolutional neural networks generalize to out-of-distribution categ…☆22Updated 3 years ago
- [ECCV24] MOD-UV: Learning Mobile Object Detectors from Unlabeled Videos☆11Updated 9 months ago