gqk / LAELinks
[ICCV 2023] A Unified Continual Learning Framework with General Parameter-Efficient Tuning
☆88Updated last year
Alternatives and similar repositories for LAE
Users that are interested in LAE are comparing it to the libraries listed below
Sorting:
- Generative Multi-modal Models are Good Class Incremental Learners, CVPR 2024 [PyTorch Code]☆49Updated 11 months ago
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆92Updated 7 months ago
- [ECCV 2024] Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models☆54Updated last year
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆68Updated 9 months ago
- ☆47Updated 6 months ago
- Awsome of VLM-CL. Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting☆103Updated last week
- ☆54Updated 3 years ago
- PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"☆28Updated last year
- [ICLR 2024] ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation☆70Updated last year
- ☆103Updated last year
- [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models☆43Updated 7 months ago
- Official repository for Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning on ICCV 20…☆27Updated last year
- [ICCV 2023] Bayesian Prompt Learning for Image-Language Model Generalization☆37Updated 2 years ago
- The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"☆58Updated last year
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆34Updated 4 months ago
- ☆20Updated last year
- [CVPR 2024] Offical implemention of the paper "DePT: Decoupled Prompt Tuning"☆108Updated 5 months ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆150Updated last year
- CVPR2024: Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models☆85Updated last year
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆108Updated last year
- Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.☆76Updated last year
- ☆25Updated last year
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆149Updated 2 years ago
- Learning without Forgetting for Vision-Language Models (TPAMI 2025)☆45Updated 3 months ago
- The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization☆77Updated 2 years ago
- Official implementation of PCS in essay "Prompt Vision Transformer for Domain Generalization"☆50Updated 2 years ago
- [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning☆100Updated 3 months ago
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆50Updated 11 months ago
- Code for ICML2023 paper, DDGR: Continual Learning with Deep Diffusion-based Generative Replay.☆39Updated 2 years ago
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆101Updated last year