VITA-Group / layerGraftedPretraining_ICLR23Links
[ICLR 2023] “ Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Better Representations”, Ziyu Jiang, Yinpeng Chen, Mengchen Liu, Dongdong Chen, Xiyang Dai, Lu Yuan, Zicheng Liu, Zhangyang Wang
☆24Updated 2 years ago
Alternatives and similar repositories for layerGraftedPretraining_ICLR23
Users that are interested in layerGraftedPretraining_ICLR23 are comparing it to the libraries listed below
Sorting:
- ☆16Updated last year
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆11Updated 3 years ago
- [CVPR 2022] "The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy" by Tianlong C…☆25Updated 3 years ago
- Code implementation for paper "On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals".☆16Updated 3 years ago
- Learning from Limited and Imperfect Data (L2ID): Classification Challenges☆18Updated 4 years ago
- Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.☆23Updated 3 years ago
- [WACV2023] This is the official PyTorch impelementation of our paper "[Rethinking Rotation in Self-Supervised Contrastive Learning: Adapt…☆12Updated 2 years ago
- Rethinking Nearest Neighbors for Visual Classification☆31Updated 3 years ago
- ☆14Updated 2 years ago
- ☆26Updated 3 years ago
- i-mae Pytorch Repo☆20Updated last year
- ☆29Updated 2 years ago
- Code for the paper Self-Supervised Learning of Split Invariant Equivariant Representations☆28Updated last year
- Official Pytorch Implementation of: "Semantic Diversity Learning for Zero-Shot Multi-label Classification"(ICCV, 2021) paper☆30Updated 2 years ago
- Source code for the BMVC-2021 paper "SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation".☆16Updated 3 years ago
- [NeurIPS 2022] code for the paper, SemMAE: Semantic-guided masking for learning masked autoencoders☆38Updated last year
- SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained Models☆20Updated last year
- Code of CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping☆17Updated 2 years ago
- [ECCV2022] Revisiting the Critical Factors of Augmentation-Invariant Representation Learning☆12Updated 2 years ago
- [ICCV23] Official implementation of eP-ALM: Efficient Perceptual Augmentation of Language Models.☆27Updated last year
- Official pytorch implementation of NeurIPS 2022 paper, TokenMixup☆48Updated 2 years ago
- PyTorch implementation for our paper EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels☆28Updated 4 years ago
- PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"☆49Updated 2 years ago
- [TIP] Exploring Effective Factors for Improving Visual In-Context Learning☆19Updated 7 months ago
- ☆31Updated 3 years ago
- Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers☆26Updated 3 years ago
- This is a offical PyTorch/GPU implementation of SupMAE.☆78Updated 2 years ago
- An official implementation of Cl-InfoNCE☆14Updated 3 years ago
- Official code for the paper "Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks".☆16Updated 3 years ago
- Lightweight Transformer for Multi-modal Tasks☆16Updated 2 years ago