CVMI-Lab / SyntheticDataLinks
Is synthetic data from generative models ready for image recognition?
☆184Updated 2 years ago
Alternatives and similar repositories for SyntheticData
Users that are interested in SyntheticData are comparing it to the libraries listed below
Sorting:
- Official implementation and data release of the paper "Visual Prompting via Image Inpainting".☆315Updated 2 years ago
- Augmenting with Language-guided Image Augmentation (ALIA)☆80Updated 2 years ago
- [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"☆179Updated last year
- AI-Generated Images as Data Source: The Dawn of Synthetic Era☆153Updated last year
- The repository of Expanding Small-Scale Datasets with Guided Imagination (NeurIPS 2023).☆78Updated last year
- [TPAMI] Searching prompt modules for parameter-efficient transfer learning.☆238Updated last year
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆188Updated 2 years ago
- [ICLR'23 Oral] Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching☆254Updated 2 years ago
- [ICLR 2024] Real-Fake: Effective Training Data Synthesis Through Distribution Matching☆78Updated last year
- Exploring Visual Prompts for Adapting Large-Scale Models☆286Updated 3 years ago
- Code for "Training on Thin Air: Improve Image Classification with Generated Data"☆48Updated 2 years ago
- [ICCV 2023] Prompt-aligned Gradient for Prompt Tuning☆167Updated 2 years ago
- ☆113Updated last year
- Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"☆84Updated 2 years ago
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆93Updated last year
- source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"☆72Updated 7 months ago
- Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"☆96Updated last year
- ☆115Updated 2 years ago
- [ICCV2023] Dataset Quantization☆261Updated last year
- Efficient Dataset Distillation by Representative Matching☆113Updated last year
- [CVPRW 2023] Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion☆24Updated last year
- This is the official GitHub for paper: On the Versatile Uses of Partial Distance Correlation in Deep Learning, in ECCV 2022☆175Updated 2 years ago
- official implementation of "Interpreting CLIP's Image Representation via Text-Based Decomposition"☆233Updated 6 months ago
- Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.☆78Updated last year
- ☆42Updated 2 years ago
- ☆59Updated 3 years ago
- [NeurIPS 2023] Text data, code and pre-trained models for paper "Improving CLIP Training with Language Rewrites"☆286Updated last year
- VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition☆68Updated 3 years ago
- [CVPR 2023] Zero-shot Generative Model Adaptation via Image-specific Prompt Learning☆83Updated 2 years ago
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆48Updated 3 years ago