Leo's repositories
Awesome-Referring-Image-Segmentation
:books: A collection of papers about Referring Image Segmentation.
AwesomeMRC
This repo is our research summary and playground for MRC. More features are coming.
Bringing-Old-Photos-Back-to-Life
Bringing Old Photo Back to Life (CVPR 2020 oral)
DeepLearningExamples
Deep Learning Examples
detr
End-to-End Object Detection with Transformers
frankmocap
A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator
GPCycleGAN
Akshay Rangesh, Bowen Zhang and Mohan Trivedi, "Driver Gaze Estimation in the Real World: Overcoming the Eyeglass Challenge," IEEE Intelligent Vehicles Symposium (IV), 2020.
GroundingDINO
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
imagededup
😎 Finding duplicate images made easy!
labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
MPL-pytorch
Unofficial PyTorch implementation of "Meta Pseudo Labels"
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
pytorch-model-parallel
A memory balanced and communication efficient FullyConnected layer with CrossEntropyLoss model parallel implementation in PyTorch
pytorch_face_landmark
Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100FPS landmark inference on CPU.
r3det-on-mmdetection
R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object
RepVGG
RepVGG: Making VGG-style ConvNets Great Again
RotationDetection
This is a tensorflow-based rotation detection benchmark, also called UranusDet.
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.
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/