bruceyo / V-PETLLinks
Towards a Unified View on Visual Parameter-Efficient Transfer Learning
☆26Updated 3 years ago
Alternatives and similar repositories for V-PETL
Users that are interested in V-PETL are comparing it to the libraries listed below
Sorting:
- Turning to Video for Transcript Sorting☆49Updated 2 years ago
- ☆61Updated 9 months ago
- [CVPR2024] The code of "UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory"☆69Updated last year
- ☆62Updated 2 years ago
- ☆27Updated 2 years ago
- 📍 Official repository of paper "ProtoCLIP: Prototypical Contrastive Language Image Pretraining" (IEEE TNNLS 2023)☆55Updated 2 years ago
- Repository for the paper: Teaching Structured Vision & Language Concepts to Vision & Language Models☆48Updated 2 years ago
- Distribution-Aware Prompt Tuning for Vision-Language Models (ICCV 2023)☆44Updated 2 years ago
- [ICCV 2023 oral] This is the official repository for our paper: ''Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning''.☆75Updated 2 years ago
- Task Residual for Tuning Vision-Language Models (CVPR 2023)☆76Updated 2 years ago
- [ICLR 23] Contrastive Aligned of Vision to Language Through Parameter-Efficient Transfer Learning☆40Updated 2 years ago
- Official code for "Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models" (TCSVT'2023)☆29Updated 2 years ago
- (ICML 2024) Improve Context Understanding in Multimodal Large Language Models via Multimodal Composition Learning☆28Updated last year
- [ICCV 2023] ALIP: Adaptive Language-Image Pre-training with Synthetic Caption☆104Updated 2 years ago
- ☆20Updated 2 years ago
- Code for the paper: "SuS-X: Training-Free Name-Only Transfer of Vision-Language Models" [ICCV'23]☆106Updated 2 years ago
- [CVPR2022] PyTorch re-implementation of Prompt Distribution Learning☆18Updated 2 years ago
- Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning☆24Updated last year
- Compress conventional Vision-Language Pre-training data☆53Updated 2 years ago
- ☆26Updated 2 years ago
- The efficient tuning method for VLMs☆80Updated last year
- Code and results accompanying our paper titled CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets☆59Updated 2 years ago
- code for "Multitask Vision-Language Prompt Tuning" https://arxiv.org/abs/2211.11720☆56Updated last year
- Official code for the paper, "TaCA: Upgrading Your Visual Foundation Model with Task-agnostic Compatible Adapter".☆16Updated 2 years ago
- Official Codes for Fine-Grained Visual Prompting, NeurIPS 2023☆56Updated 2 years ago
- [CVPR 2024] Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Fine-grained Understanding☆55Updated 10 months ago
- [CVPR 2025] PyTorch implementation of paper "FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training"☆32Updated 7 months ago
- [ICCV2023] Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm☆19Updated 2 years ago
- [ICCV2023] Official code for "VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control"☆53Updated 2 years ago
- This repo is the official implementation of UPL (Unsupervised Prompt Learning for Vision-Language Models).☆118Updated 3 years ago