MengShen0709 / bmmalLinks
[ACMMM 2023] BMMAL: Towards Balanced Active Learning for Multimodal Classification
☆15Updated 2 years ago
Alternatives and similar repositories for bmmal
Users that are interested in bmmal are comparing it to the libraries listed below
Sorting:
- PMR: Prototypical Modal Rebalance for Multimodal Learning☆42Updated 2 years ago
- Multimodal Prompting with Missing Modalities for Visual Recognition, CVPR'23☆223Updated last year
- The repo for "MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistance", ICML 2024☆47Updated last year
- The repo for "Enhancing Multi-modal Cooperation via Sample-level Modality Valuation", CVPR 2024☆57Updated last year
- The repo for "Balanced Multimodal Learning via On-the-fly Gradient Modulation", CVPR 2022 (ORAL)☆295Updated last month
- A python implement for Certifiable Robust Multi-modal Training☆18Updated 4 months ago
- Code for dmrnet☆28Updated 4 months ago
- ☆76Updated 2 years ago
- Code and Dataset for the paper "LAMM: Label Alignment for Multi-Modal Prompt Learning" AAAI 2024☆33Updated last year
- [NeurIPS 2024] Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models☆39Updated last year
- AAAI-24 Decoupled Contrastive Learning for Long-Tailed Recognition☆31Updated last year
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆105Updated last year
- Adaptation of vision-language models (CLIP) to downstream tasks using local and global prompts.☆49Updated 4 months ago
- The official GitHub page for the survey paper "CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey". And thi…☆55Updated last week
- Deep Correlated Prompting for Visual Recognition with Missing Modalities (NeurIPS 2024)☆29Updated 8 months ago
- This repository is a collection of awesome things about vision prompts, including papers, code, etc.☆36Updated last year
- [AAAI 2024] Prompt-based Distribution Alignment for Unsupervised Domain Adaptation☆74Updated last year
- An official implementation of "Distribution-Consistent Modal Recovering for Incomplete Multimodal Learning" in PyTorch. (ICCV 2023)☆32Updated 2 years ago
- Deep Evidential Learning with Noisy Correspondence for Cross-modal Retrieval ( ACM Multimedia 2022, Pytorch Code)☆47Updated last year
- The official implementation of paper "Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval" accepted by NeurIPS…☆27Updated last year
- [ICML 2023] Provable Dynamic Fusion for Low-Quality Multimodal Data☆112Updated 4 months ago
- Uncertainty-Guided Noisy Correspondence Learning for Efficient Cross-Modal Matching (ACM SIGIR 2024, Pytorch Code)☆24Updated 9 months ago
- Code release for Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning | IROS 2024☆48Updated 10 months ago
- Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models (AAAI 2024)☆73Updated 9 months ago
- [ICCV'23 Main Track, WECIA'23 Oral] Official repository of paper titled "Self-regulating Prompts: Foundational Model Adaptation without F…☆280Updated 2 years ago
- An official implementation of "Incomplete Multimodality-Diffused Emotion Recognition" in PyTorch. (NeurIPS 2023)☆58Updated last year
- [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models☆171Updated last year
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆68Updated 2 years ago
- Pytorch implementation of "Test-time Adaption against Multi-modal Reliability Bias".☆44Updated 10 months ago
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆109Updated last year