Stars
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
💬 A better WeChat on macOS and Linux. Built with Electron by Zhongyi Tong.
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Learning to See in the Dark. CVPR 2018
SwinIR: Image Restoration Using Swin Transformer (official repository)
Reference models and tools for Cloud TPUs.
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Acceptance rates for the major AI conferences
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
Painter & SegGPT Series: Vision Foundation Models from BAAI
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
📚 A collection of edge/contour/boundary detection papers and toolbox.
Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators
VRT: A Video Restoration Transformer (official repository)
A paper list of some recent Transformer-based CV works.
MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas lik…
Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.
A PyTorch implementation of MobileNet V2 architecture and pretrained model.
A MATLAB toolbox for exporting publication quality figures
A collection of resources on applications of Transformers in Medical Imaging.