Jordan-HS / Diversity_is_Definitely_NeededLinks
[CVPRW 2023] Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion
☆24Updated last year
Alternatives and similar repositories for Diversity_is_Definitely_Needed
Users that are interested in Diversity_is_Definitely_Needed are comparing it to the libraries listed below
Sorting:
- Augmenting with Language-guided Image Augmentation (ALIA)☆80Updated 2 years ago
- ☆42Updated 2 years ago
- Code for "Training on Thin Air: Improve Image Classification with Generated Data"☆48Updated 2 years ago
- [ICLR 2024] Real-Fake: Effective Training Data Synthesis Through Distribution Matching☆78Updated 2 years ago
- This repo is the official implementation of UPL (Unsupervised Prompt Learning for Vision-Language Models).☆117Updated 3 years ago
- Is synthetic data from generative models ready for image recognition?☆184Updated 2 years ago
- Official implementation of "Towards Distribution-Agnostic Generalized Category Discovery" (NIPS 2023)☆25Updated 2 years ago
- source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"☆72Updated 8 months ago
- LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images☆32Updated 2 years ago
- Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"☆86Updated 2 years ago
- AI-Generated Images as Data Source: The Dawn of Synthetic Era☆153Updated 2 years ago
- [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"☆178Updated last year
- The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization☆78Updated 2 years ago
- Create generated datasets and train robust classifiers☆36Updated 2 years ago
- ☆115Updated 2 years ago
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆68Updated 11 months ago
- The official github repo for "Test-Time Training with Masked Autoencoders"☆90Updated 2 years ago
- ☆59Updated 3 years ago
- [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"☆42Updated last year
- [ICCV 2023] New framework: Domain adaptation using a single prompt. Main contribution: Prompt-driven Instance Normalization (PIN)☆124Updated 9 months ago
- Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.☆79Updated last year
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated 2 years ago
- Efficient Dataset Distillation by Representative Matching☆113Updated last year
- Compress conventional Vision-Language Pre-training data☆52Updated 2 years ago
- Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 20…☆53Updated 3 years ago
- [CVPR 2023] Zero-shot Generative Model Adaptation via Image-specific Prompt Learning☆83Updated 2 years ago
- Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"☆109Updated 2 years ago
- [CVPR2022] PyTorch re-implementation of Prompt Distribution Learning☆18Updated 2 years ago
- [ICCV 2023] Prompt-aligned Gradient for Prompt Tuning☆166Updated 2 years ago
- [CVPR2024 Highlight] Official implementation for Transferable Visual Prompting. The paper "Exploring the Transferability of Visual Prompt…☆46Updated last year