synbol / Awesome-Parameter-Efficient-Transfer-Learning
Collection of awesome parameter-efficient fine-tuning resources.
☆548Updated last month
Alternatives and similar repositories for Awesome-Parameter-Efficient-Transfer-Learning:
Users that are interested in Awesome-Parameter-Efficient-Transfer-Learning are comparing it to the libraries listed below
- A Unified Parameter-Efficient Transfer Learning Benchmark for Computer Vision Tasks☆273Updated 8 months ago
- [CVPR 2024 Highlight] Logit Standardization in Knowledge Distillation☆366Updated 6 months ago
- A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.☆400Updated 7 months ago
- ☆397Updated 8 months ago
- [CVPR2023 Highlight] GRES: Generalized Referring Expression Segmentation☆693Updated last year
- A curated list of research based on CLIP.☆205Updated 5 months ago
- MoH: Multi-Head Attention as Mixture-of-Head Attention☆237Updated 5 months ago
- Pytorch Implementation of "Sinkhorn Distance Minimization for Knowledge Distillation", COLING 2024 and TNNLS 2024☆121Updated last month
- [CVPR'24] DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation.☆79Updated 10 months ago
- [ICCV 2023] MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions☆522Updated 10 months ago
- A benchmark dataset for GRES and GREC [CVPR2023 Highlight]☆231Updated last year
- This repository is the official implementation of "DTL: Disentangled Transfer Learning for Visual Recognition", which is accepted by AAAI…☆108Updated last year
- PyTorch implementation of the paper : Exploring Regional Clues in CLIP for Zero-Shot Semantic Segmentation.☆48Updated 9 months ago
- [NeurIPS2022] Deep Model Reassembly☆253Updated last year
- [ICLR 2025] MoE++: Accelerating Mixture-of-Experts Methods with Zero-Computation Experts☆209Updated 6 months ago
- The official implementation of Achieving Cross Modal Generalization with Multimodal Unified Representation (NeurIPS '23)☆217Updated 3 months ago
- ☆155Updated last year
- [CVPR 2024] Official PyTorch Code for "PromptKD: Unsupervised Prompt Distillation for Vision-Language Models"☆292Updated last month
- Pytorch implementation for CVPR 2023 paper "Fine-Grianed Classification with Noisy Labels".☆31Updated 10 months ago
- A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.☆509Updated this week
- [CVPR 2024] Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis☆170Updated 6 months ago
- [ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass☆185Updated last year
- [CVPR2023 Highlight] Consistent-Teacher: Towards Reducing Inconsistent Pseudo-targets in Semi-supervised Object Detection☆301Updated last year
- [CVPR 2024] "MACE: Mass Concept Erasure in Diffusion Models" (Official Implementation)☆393Updated 3 weeks ago
- Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline☆212Updated last month
- [CVPR 2023 (Highlight)] Offical implementation of the paper "RepMode: Learning to Re-parameterize Diverse Experts for Subcellular Structu…☆169Updated last year
- [CVPR 2024 Highlight🔥] Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding☆932Updated 6 months ago
- [ICCV 2023] MOSE: A New Dataset for Video Object Segmentation in Complex Scenes☆355Updated last year
- Official PyTorch implementation of "Multi-modal Queried Object Detection in the Wild" (accepted by NeurIPS 2023)☆331Updated last year
- This is an official PyTorch implementation for "MuSc : Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring o…☆375Updated last year