ECNU-ICALK / CL-MoELinks
[CVPR 2025] CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering
☆37Updated 4 months ago
Alternatives and similar repositories for CL-MoE
Users that are interested in CL-MoE are comparing it to the libraries listed below
Sorting:
- ☆28Updated 7 months ago
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆34Updated 4 months ago
- [ECCV 2024] Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models☆53Updated last year
- [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models☆43Updated 7 months ago
- [ICLR'24] Consistency-guided Prompt Learning for Vision-Language Models☆82Updated last year
- Awsome of VLM-CL. Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting☆90Updated last month
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆90Updated 7 months ago
- Code for Negative Yields Positive: Unified Dual-Path Adapter for Vision-Language Models☆26Updated 11 months ago
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆50Updated 11 months ago
- [ICLR 2025] Official Implementation of Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection☆47Updated 2 months ago
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆100Updated last year
- Code for our NeurIPS´24 paper☆35Updated 11 months ago
- Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"☆81Updated last year
- The official pytorch implemention of our CVPR-2024 paper "MMA: Multi-Modal Adapter for Vision-Language Models".☆82Updated 5 months ago
- ☆143Updated 10 months ago
- Code for ICML2023 paper, DDGR: Continual Learning with Deep Diffusion-based Generative Replay.☆40Updated 2 years ago
- [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"☆21Updated 11 months ago
- ECCV24, NeurIPS24, Benchmarking Generalized Out-of-Distribution Detection with Vision-Language Models☆28Updated 9 months ago
- [ICCV 2023] A Unified Continual Learning Framework with General Parameter-Efficient Tuning☆88Updated last year
- Generative Multi-modal Models are Good Class Incremental Learners, CVPR 2024 [PyTorch Code]☆49Updated 10 months ago
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆107Updated last year
- [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners☆52Updated last year
- Official Repository for ICML 2024 Paper "OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport"☆17Updated last year
- Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"☆102Updated last year
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆87Updated 11 months ago
- [CVPR2025] The implementation of the paper "OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary".☆18Updated 5 months ago
- [CVPR 2024] Offical implemention of the paper "DePT: Decoupled Prompt Tuning"☆108Updated 4 months ago
- Instruction Tuning in Continual Learning paradigm☆62Updated 8 months ago
- [ICLR 2024 Oral] Less is More: Fewer Interpretable Region via Submodular Subset Selection☆83Updated 4 months ago
- [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning☆100Updated 3 months ago