IemProg / CoFiMALinks
π₯ π₯ [ECCV 2024 Oral ] Official code for "Weighted Ensemble Models Are Strong Continual Learners"
β30Updated 7 months ago
Alternatives and similar repositories for CoFiMA
Users that are interested in CoFiMA are comparing it to the libraries listed below
Sorting:
- [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!β57Updated 8 months ago
- Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"β43Updated 2 years ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)β150Updated last year
- [ICLR 2024] - Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learningβ30Updated 6 months ago
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paperβ57Updated 9 months ago
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Modelsβ106Updated last year
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Classβ¦β92Updated 2 years ago
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.β50Updated last year
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluationβ40Updated last year
- Official repository for "CLIP model is an Efficient Continual Learner".β104Updated 2 years ago
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]β35Updated 5 months ago
- ICLR2024 paper on Continual Learningβ37Updated last year
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"β110Updated last year
- β55Updated last year
- Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"β110Updated 2 years ago
- LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)β29Updated last year
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864β69Updated 2 years ago
- Code for "BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation [ICML2024]".β45Updated last year
- This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, β¦β22Updated last year
- β54Updated 2 years ago
- [Spotlight ICLR 2023 paper] Continual evaluation for lifelong learning with neural networks, identifying the stability gap.β30Updated 2 years ago
- [NeurIPS 2025 Datasets & Benchmarks Track] The Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language Modelsβ28Updated last month
- [NeurIPS 2024] WATT: Weight Average Test-Time Adaptation of CLIPβ56Updated last year
- [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"β42Updated last year
- [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"β12Updated 9 months ago
- Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"β26Updated 3 years ago
- β69Updated 2 years ago
- Test-time adaptation via Nearest neighbor information (TAST), submitted to ICLR'23β24Updated 2 years ago
- Model calibration in CLIP Adaptersβ19Updated last year
- β28Updated last year