Xiaodong Wang's repositories
anylabeling
Effortless AI-assisted data labeling with AI support from Segment Anything and YOLO!
awesome-diffusion-categorized
collection of diffusion model papers categorized by their subareas
Channel_Importance_FSL
[ICML 2022] Channel Importance Matters in Few-shot Image Classification
chatgpt_academic
科研工作专用ChatGPT拓展,特别优化学术Paper润色体验,支持自定义快捷按钮,支持自定义函数插件,支持markdown表格显示,Tex公式双显示,代码显示功能完善,新增本地Python/C++/Go项目树剖析功能/项目源代码自译解能力,新增PDF和Word文献批量总结功能/PDF论文全文翻译功能
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
FDCL-DA
Source code for paper "Integrating foreground–background feature distillation and contrastive feature learning for ultra-fine-grained visual classification".
few-shot-diffusion-models
Few-Shot Diffusion Models
Few-Shot-Object-Detection-Papers
Few Shot Object Detection Papers
FSL-TCBR
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid
GLIGEN
Open-Set Grounded Text-to-Image Generation
igligen
Improved Implementation for Training GLIGEN: Open-Set Grounded Text-to-Image Generation
LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning: LLaVA (Large Language-and-Vision Assistant) built towards GPT-4V level capabilities.
LogoDetect
ICME-2022 安全AI挑战者计划第九期:小样本商标检测挑战赛。赛事已结束,练习用。
manifold_mixup
pytorch implementation of manifold-mixup
RepMet
Few-shot detection for visual categories
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
stable-diffusion-webui
Stable Diffusion web UI
stablediffusion
High-Resolution Image Synthesis with Latent Diffusion Models
ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
ustcthesis
LaTeX template for USTC thesis