VILA-Lab / OD3Links
[ICLR 2026] Optimization-free Dataset Distillation for Object Detection. Paper at: https://arxiv.org/abs/2506.01942
☆22Updated last week
Alternatives and similar repositories for OD3
Users that are interested in OD3 are comparing it to the libraries listed below
Sorting:
- Official pytorch implementation of ZiRa, a method for incremental vision language object detection (IVLOD)，which has been accepted by Neu…☆29Updated last year
- Official Implementation of "Fine-Tuning is Fine, if Calibrated.", NeurIPS 2024☆20Updated 9 months ago
- Code for Label Propagation for Zero-shot Classification with Vision-Language Models (CVPR2024)☆44Updated last year
- [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners☆55Updated last year
- [CVPR'24] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLAP)…☆80Updated 8 months ago
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆114Updated last year
- Practical Continual Forgetting for Pre-trained Vision Models (CVPR 2024; T-PAMI 2026)☆70Updated 3 weeks ago
- [CVPR 2024] Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification☆39Updated last year
- [CVPR 2023] Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection☆30Updated 2 years ago
- [NeurIPS 2024] WATT: Weight Average Test-Time Adaptation of CLIP☆56Updated last year
- [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning☆102Updated 7 months ago
- Official repository for "CLIP model is an Efficient Continual Learner".☆108Updated 3 years ago
- Model calibration in CLIP Adapters☆19Updated last year
- One-Shot Unsupervised Cross Domain Detection☆13Updated 3 years ago
- Official Repository for CVPR 2024 Paper: "Large Language Models are Good Prompt Learners for Low-Shot Image Classification"☆41Updated last year
- ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No☆141Updated 2 years ago
- [PR 2024] TFS-ViT: Token-Level Feature Stylization for Domain Generalization☆25Updated 2 years ago
- ☆42Updated 2 years ago
- ActMAD: Activation Matching to Align Distributions for Test-Time-Training (CVPR 2023)☆21Updated 2 years ago
- The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"☆61Updated last year
- [ICLR'24] Consistency-guided Prompt Learning for Vision-Language Models☆85Updated last year
- This is the PyTorch Implementation of "AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation (CVPR '24)" by Taeckyung Lee, Sorn …☆14Updated 8 months ago
- [ECCV'24 Oral] Anytime Continual Learning for Open Vocabulary Classification☆24Updated last year
- ☆45Updated 4 months ago
- Noise Contrastive Test-Time Training☆12Updated last year
- [CVPR 2023] Improving Zero-shot Generalization and Robustness of Multi-modal Models☆35Updated 2 years ago
- Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"☆103Updated last year
- [CVPR 2023] Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners☆44Updated 2 years ago
- [CVPR 2024] Offical implemention of the paper "DePT: Decoupled Prompt Tuning"☆109Updated 2 months ago
- Official code for "Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models" (TCSVT'2023)☆29Updated 2 years ago