ylsung / VL_adapter
PyTorch code for "VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks" (CVPR2022)
☆205Updated 2 years ago
Alternatives and similar repositories for VL_adapter:
Users that are interested in VL_adapter are comparing it to the libraries listed below
- Align and Prompt: Video-and-Language Pre-training with Entity Prompts☆187Updated 2 years ago
- ☆186Updated last year
- ☆117Updated 2 years ago
- [ACL 2023] Official PyTorch code for Singularity model in "Revealing Single Frame Bias for Video-and-Language Learning"☆134Updated last year
- Reliably download millions of images efficiently☆115Updated 4 years ago
- MixGen: A New Multi-Modal Data Augmentation☆122Updated 2 years ago
- This repo contains codes and instructions for baselines in the VLUE benchmark.☆41Updated 2 years ago
- Recent Advances in Vision and Language Pre-training (VLP)☆292Updated last year
- Toolkit for Elevater Benchmark☆70Updated last year
- ☆58Updated last year
- Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training☆137Updated 2 years ago
- Visual Language Transformer Interpreter - An interactive visualization tool for interpreting vision-language transformers☆91Updated last year
- Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone☆129Updated last year
- [TPAMI] Searching prompt modules for parameter-efficient transfer learning.☆228Updated last year
- Official repository for the A-OKVQA dataset☆84Updated 11 months ago
- This repo is the official implementation of UPL (Unsupervised Prompt Learning for Vision-Language Models).☆114Updated 3 years ago
- ☆83Updated 3 years ago
- ☆66Updated 6 years ago
- [ICLR 2022] code for "How Much Can CLIP Benefit Vision-and-Language Tasks?" https://arxiv.org/abs/2107.06383☆411Updated 2 years ago
- code for TCL: Vision-Language Pre-Training with Triple Contrastive Learning, CVPR 2022☆261Updated 6 months ago
- [NeurIPS 2023] Self-Chained Image-Language Model for Video Localization and Question Answering☆186Updated last year
- CapDec: SOTA Zero Shot Image Captioning Using CLIP and GPT2, EMNLP 2022 (findings)☆195Updated last year
- [NeurIPS 2023] Text data, code and pre-trained models for paper "Improving CLIP Training with Language Rewrites"☆277Updated last year
- Source code for EMNLP 2022 paper “PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models”☆48Updated 2 years ago
- Pytorch code for Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners☆115Updated 2 years ago
- [CVPR'21 Oral] Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning☆208Updated 2 years ago
- MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning☆135Updated last year
- Experiments and data for the paper "When and why vision-language models behave like bags-of-words, and what to do about it?" Oral @ ICLR …☆276Updated last year
- ☆84Updated 2 years ago
- [CVPR2023] The code for 《Position-guided Text Prompt for Vision-Language Pre-training》☆152Updated last year