MediaBrain-SJTU / OC_LTLinks
Official code base for "Long-Tailed Diffusion Models With Oriented Calibration" ICLR2024
☆14Updated last year
Alternatives and similar repositories for OC_LT
Users that are interested in OC_LT are comparing it to the libraries listed below
Sorting:
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆50Updated 11 months ago
- [CVPR2024 Highlight] Official implementation for Transferable Visual Prompting. The paper "Exploring the Transferability of Visual Prompt…☆44Updated 9 months ago
- ECCV24, NeurIPS24, Benchmarking Generalized Out-of-Distribution Detection with Vision-Language Models☆28Updated 9 months ago
- [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"☆42Updated last year
- ☆27Updated last year
- This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, …☆22Updated last year
- Test-time adaptation via Nearest neighbor information (TAST), submitted to ICLR'23☆23Updated 2 years ago
- ☆58Updated 9 months ago
- Official implementation of "Towards Distribution-Agnostic Generalized Category Discovery" (NIPS 2023)☆25Updated last year
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆66Updated 8 months ago
- Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment, arXiv 2024 / CVPR 2025☆33Updated 7 months ago
- The efficient tuning method for VLMs☆79Updated last year
- ☆18Updated last year
- Empowering Small VLMs to Think with Dynamic Memorization and Exploration☆15Updated 2 weeks ago
- [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"☆21Updated 11 months ago
- ☆41Updated 2 years ago
- This repository houses the code for the paper - "The Neglected of VLMs"☆29Updated 5 months ago
- (NeurIPS 2024) What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights☆28Updated 11 months ago
- Official code for "Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models" (TCSVT'2023)☆28Updated last year
- Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.☆76Updated last year
- [CVPR 2023] Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning☆21Updated 2 years ago
- [ECCV 2024] Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models☆53Updated last year
- source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"☆70Updated 5 months ago
- PyTorch code for the CVPR'23 paper: "ConStruct-VL: Data-Free Continual Structured VL Concepts Learning"☆14Updated last year
- [CVPR 2025] Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention☆47Updated last year
- Self-training LLaVA for medical☆16Updated 11 months ago
- [ICCV 2023] Bayesian Prompt Learning for Image-Language Model Generalization☆37Updated 2 years ago
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated 2 years ago
- ☆13Updated 3 years ago
- [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"☆18Updated 2 years ago