bruceyo / V-PETL
Towards a Unified View on Visual Parameter-Efficient Transfer Learning
☆27Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for V-PETL
- Turning to Video for Transcript Sorting☆46Updated last year
- ☆56Updated 2 years ago
- FreeVA: Offline MLLM as Training-Free Video Assistant☆49Updated 5 months ago
- ☆22Updated last year
- Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning☆17Updated 2 months ago
- [CVPR2022] PyTorch re-implementation of Prompt Distribution Learning☆15Updated last year
- Task Residual for Tuning Vision-Language Models (CVPR 2023)☆66Updated last year
- 【NeurIPS 2024】The official code of paper "Automated Multi-level Preference for MLLMs"☆16Updated last month
- [CVPR2024 Highlight] Official implementation for Transferable Visual Prompting. The paper "Exploring the Transferability of Visual Prompt…☆32Updated 5 months ago
- [CVPR2024] The code of "UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory"☆64Updated last month
- Official code for the paper, "TaCA: Upgrading Your Visual Foundation Model with Task-agnostic Compatible Adapter".☆16Updated last year
- [ECCV2024] Learning Video Context as Interleaved Multimodal Sequences☆30Updated last month
- Accelerating Vision-Language Pretraining with Free Language Modeling (CVPR 2023)☆31Updated last year
- ☆26Updated 9 months ago
- Distribution-Aware Prompt Tuning for Vision-Language Models (ICCV 2023)☆37Updated 11 months ago
- Seeing What You Miss: Vision-Language Pre-training with Semantic Completion Learning☆20Updated 11 months ago
- Repository of paper: Position-Enhanced Visual Instruction Tuning for Multimodal Large Language Models☆36Updated last year
- Official Codes for Fine-Grained Visual Prompting, NeurIPS 2023☆39Updated 9 months ago
- Repository for the paper: Teaching Structured Vision & Language Concepts to Vision & Language Models☆45Updated last year
- Official code for "Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models" (TCSVT'2023)☆27Updated 10 months ago
- Distilling Large Vision-Language Model with Out-of-Distribution Generalizability (ICCV 2023)☆54Updated 7 months ago
- [ICML 2024] Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning☆44Updated 6 months ago
- [ICLR 23] Contrastive Aligned of Vision to Language Through Parameter-Efficient Transfer Learning☆37Updated last year
- Compress conventional Vision-Language Pre-training data☆49Updated last year
- ☆13Updated last year
- Code Release of F-LMM: Grounding Frozen Large Multimodal Models☆51Updated 3 months ago
- ☆33Updated last year
- [ICCV 2023 oral] This is the official repository for our paper: ''Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning''.☆64Updated last year
- Code for the paper: "SuS-X: Training-Free Name-Only Transfer of Vision-Language Models" [ICCV'23]☆94Updated last year