gyhandy / Channel-wise-Lightweight-ReprogrammingLinks
[ICCV 2023] CLR: Channel-wise Lightweight Reprogramming for Continual Learning
☆33Updated last year
Alternatives and similar repositories for Channel-wise-Lightweight-Reprogramming
Users that are interested in Channel-wise-Lightweight-Reprogramming are comparing it to the libraries listed below
Sorting:
- [ICLR 2024] Real-Fake: Effective Training Data Synthesis Through Distribution Matching☆78Updated 2 years ago
- The official implementation of paper: "Inter-Instance Similarity Modeling for Contrastive Learning"☆117Updated last year
- [NeurIPS2023] Parameter-efficient Tuning of Large-scale Multimodal Foundation Model☆89Updated 2 years ago
- Task Residual for Tuning Vision-Language Models (CVPR 2023)☆75Updated 2 years ago
- Official implementation for the paper "Prompt Pre-Training with Over Twenty-Thousand Classes for Open-Vocabulary Visual Recognition"☆259Updated last year
- [CVPR 2023] Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners☆44Updated 2 years ago
- Scaling Multi-modal Instruction Fine-tuning with Tens of Thousands Vision Task Types☆32Updated 5 months ago
- [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"☆179Updated last year
- [ICCV 2023 Oral] Official repository for “On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expans…☆47Updated last year
- [CVPR'24] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLAP)…☆79Updated 7 months ago
- ☆124Updated last year
- Continual Forgetting for Pre-trained Vision Models (CVPR 2024)☆67Updated 2 weeks ago
- [ICCV 2023] Code for "Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement"☆149Updated last year
- CVPR2024: Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models☆89Updated last year
- ☆43Updated 2 years ago
- Official Pytorch implementation of "E2VPT: An Effective and Efficient Approach for Visual Prompt Tuning". (ICCV2023)☆72Updated last year
- [CVPR 2024] Offical implemention of the paper "DePT: Decoupled Prompt Tuning"☆109Updated last month
- [CVPR'23 & TPAMI'25] Hard Patches Mining for Masked Image Modeling & Bootstrap Masked Visual Modeling via Hard Patch Mining☆107Updated 8 months ago
- LiVT PyTorch Implementation.☆73Updated 2 years ago
- ☆113Updated last year
- [ICCV 2023 oral] This is the official repository for our paper: ''Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning''.☆75Updated 2 years ago
- Official implementation of the paper "Masked Autoencoders are Efficient Class Incremental Learners"☆45Updated last year
- Official implementation of "Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer".☆130Updated last year
- [WACV2025 Oral] DeepMIM: Deep Supervision for Masked Image Modeling☆55Updated 8 months ago
- [CVPR-2024] Official implementations of CLIP-KD: An Empirical Study of CLIP Model Distillation☆136Updated 4 months ago
- [NeurIPS2022] This is the official implementation of the paper "Expediting Large-Scale Vision Transformer for Dense Prediction without Fi…☆85Updated 2 years ago
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆94Updated last year
- ☆92Updated 2 years ago
- DiverGen (CVPR 2024) & BSGAL (ICML 2024)☆52Updated 6 months ago
- [ICML 2024] Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning☆50Updated last year