liuzhuang13 / bias
☆103Updated 10 months ago
Alternatives and similar repositories for bias:
Users that are interested in bias are comparing it to the libraries listed below
- [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"☆103Updated last year
- [NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions☆60Updated 9 months ago
- PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.0604…☆82Updated 2 years ago
- [ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training☆68Updated last year
- ☆52Updated last year
- [ICLR2024] Exploring Target Representations for Masked Autoencoders☆52Updated last year
- [CVPR 2023] Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners☆41Updated last year
- [CVPR 2023] Official repository for paper "Stare at What You See: Masked Image Modeling without Reconstruction"☆69Updated last year
- The official github repo for "Test-Time Training with Masked Autoencoders"☆80Updated last year
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆78Updated last year
- [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"☆171Updated 10 months ago
- ☆77Updated last year
- ☆57Updated last year
- ☆114Updated 7 months ago
- ECCV2022,Bootstrapped Masked Autoencoders for Vision BERT Pretraining☆97Updated 2 years ago
- [CVPR2024] The code of "UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory"☆66Updated 3 months ago
- The official implementation of "Adapter is All You Need for Tuning Visual Tasks".☆77Updated 5 months ago
- PyTorch implementation of R-MAE https//arxiv.org/abs/2306.05411☆109Updated last year
- MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning☆134Updated last year
- [ICCV 2023 oral] This is the official repository for our paper: ''Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning''.☆65Updated last year
- Official Pytorch implementation of "E2VPT: An Effective and Efficient Approach for Visual Prompt Tuning". (ICCV2023)☆70Updated last year
- [NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering☆45Updated last year
- Code release for Deep Incubation (https://arxiv.org/abs/2212.04129)☆91Updated last year
- [ICLR 2024] Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models.☆66Updated 6 months ago
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆60Updated 2 weeks ago
- (NeurIPS 2022) Self-Supervised Visual Representation Learning with Semantic Grouping☆95Updated last year
- Compress conventional Vision-Language Pre-training data☆49Updated last year
- Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"☆98Updated last year
- ☆40Updated last year
- [CVPR'23] Hard Patches Mining for Masked Image Modeling☆89Updated last year