Vanint / DatasetExpansion
The repository of Expanding Small-Scale Datasets with Guided Imagination (NeurIPS 2023).
☆79Updated last year
Alternatives and similar repositories for DatasetExpansion:
Users that are interested in DatasetExpansion are comparing it to the libraries listed below
- [ICLR 2024] Real-Fake: Effective Training Data Synthesis Through Distribution Matching☆79Updated last year
- ☆53Updated 2 years ago
- Code for "Training on Thin Air: Improve Image Classification with Generated Data"☆47Updated last year
- Augmenting with Language-guided Image Augmentation (ALIA)☆76Updated last year
- Task Residual for Tuning Vision-Language Models (CVPR 2023)☆72Updated last year
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆83Updated last year
- [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"☆106Updated last year
- ☆40Updated 2 months ago
- 🔥MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition [Official, ICCV 2023]☆30Updated 6 months ago
- Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"☆101Updated last year
- Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"☆77Updated last year
- Is synthetic data from generative models ready for image recognition?☆182Updated 2 years ago
- ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No☆136Updated last year
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆90Updated last year
- Official implementation of CVPR2024 paper "Enhance Image Classification via Inter-class Image Mixup with Diffusion Model""☆34Updated 7 months ago
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆62Updated 3 months ago
- ☆43Updated last year
- CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts☆49Updated 8 months ago
- Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"☆92Updated last year
- [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"☆41Updated last year
- [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning☆95Updated 9 months ago
- [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"☆174Updated last year
- [CVPR-2024] Official implementations of CLIP-KD: An Empirical Study of CLIP Model Distillation☆112Updated 10 months ago
- [NeurIPS 2023] Generalized Logit Adjustment☆35Updated last year
- source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"☆68Updated 3 weeks ago
- Uni-OVSeg is a weakly supervised open-vocabulary segmentation framework that leverages unpaired mask-text pairs.☆51Updated 10 months ago
- Code and results accompanying our paper titled CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets☆57Updated last year
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated last year
- [CVPR 2024] Code for our Paper "DeiT-LT: Distillation Strikes Back for Vision Transformer training on Long-Tailed Datasets"☆42Updated 4 months ago
- Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.☆72Updated last year