OSU-MLB / PETL_Vision
Lessons Learned from a Unifying Empirical Study of Parameter-Efficient Transfer Learning (PETL) in Visual Recognition
☆24Updated 2 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for PETL_Vision
- ☆14Updated last month
- CompBench evaluates the comparative reasoning of multimodal large language models (MLLMs) with 40K image pairs and questions across 8 dim…☆31Updated 3 months ago
- A repository and benchmark for online test-time adaptation.☆188Updated last week
- Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))☆145Updated 2 years ago
- Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"☆70Updated 11 months ago
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆85Updated last month
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆93Updated 2 years ago
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆54Updated last month
- [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!☆18Updated last week
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆59Updated last year
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆81Updated last year
- (ICCV 2023) Parametric Classification for Generalized Category Discovery: A Baseline Study☆92Updated 10 months ago
- Pytorch implementation of DAPrompt: https://arxiv.org/abs/2202.06687☆88Updated last year
- Official Implementation of MULTI-LANE (Multi Label class incremental learning via summarising pAtch tokeN Embeddings). Published in 3rd C…☆12Updated 2 months ago
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆99Updated last year
- Online Prototype Learning for Online Continual Learning (ICCV 2023)☆32Updated 11 months ago
- Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World☆162Updated last year
- [CVPR 2022] Official CoTTA Code for our paper Continual Test-Time Domain Adaptation☆242Updated 4 months ago
- ☆159Updated 10 months ago
- Stable Neighbor Denoising for Source-free Domain Adaptive Segmentation (CVPR-2024)☆14Updated 4 months ago
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆54Updated last year
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆131Updated last year
- [ICML 2024] Offical code repo for ICML2024 paper "Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with …☆18Updated 4 months ago
- Code for "Class-Incremental Learning for Action Recognition in Videos", ICCV 2021☆18Updated 2 years ago
- ☆58Updated last year
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆177Updated last year
- ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No☆125Updated 11 months ago
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆29Updated 2 months ago
- source code for ICLR'23 paper "Non-parametric Outlier Synthesis"☆53Updated last year
- ☆23Updated last month