eric-ai-lab / PEViTLinks
Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"
☆104Updated 2 years ago
Alternatives and similar repositories for PEViT
Users that are interested in PEViT are comparing it to the libraries listed below
Sorting:
- Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"☆110Updated 2 years ago
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆188Updated 2 years ago
- [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"☆108Updated 2 years ago
- [ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass☆194Updated 2 years ago
- [TPAMI] Searching prompt modules for parameter-efficient transfer learning.☆235Updated last year
- PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.0604…☆83Updated 3 years ago
- code for "Multitask Vision-Language Prompt Tuning" https://arxiv.org/abs/2211.11720☆57Updated last year
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆130Updated 11 months ago
- ☆112Updated last year
- Code for Finetune like you pretrain: Improved finetuning of zero-shot vision models☆103Updated 2 years ago
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆57Updated 2 years ago
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆68Updated last year
- A PyTorch implementation of Mugs proposed by our paper "Mugs: A Multi-Granular Self-Supervised Learning Framework".☆83Updated last year
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆90Updated last year
- [ICLR2024] Exploring Target Representations for Masked Autoencoders☆57Updated last year
- Distribution-Aware Prompt Tuning for Vision-Language Models (ICCV 2023)☆43Updated last year
- [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"☆179Updated last year
- Code implementation of our NeurIPS 2023 paper: Vocabulary-free Image Classification☆107Updated last year
- Towards Unified and Effective Domain Generalization☆32Updated last year
- ☆54Updated last year
- Augmenting with Language-guided Image Augmentation (ALIA)☆81Updated last year
- Compress conventional Vision-Language Pre-training data☆52Updated 2 years ago
- [CVPR'24] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLAP)…☆78Updated 4 months ago
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated 2 years ago
- [ICCV 2023 oral] This is the official repository for our paper: ''Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning''.☆73Updated 2 years ago
- ☆115Updated 2 years ago
- 📍 Official pytorch implementation of paper "ProtoCLIP: Prototypical Contrastive Language Image Pretraining" (IEEE TNNLS)☆53Updated last year
- Official pytorch implementation of NeurIPS 2022 paper, TokenMixup☆48Updated 2 years ago
- Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…☆59Updated 2 years ago
- ECCV2022,Bootstrapped Masked Autoencoders for Vision BERT Pretraining☆97Updated 2 years ago