swoook's Stars
JingyunLiang/SwinIR
SwinIR: Image Restoration Using Swin Transformer (official repository)
advimman/lama
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
facebookresearch/pytorchvideo
A deep learning library for video understanding research.
MenghaoGuo/Awesome-Vision-Attentions
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
facebookresearch/detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
IDSIA/sacred
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
ifzhang/ByteTrack
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
NVlabs/stylegan3
Official PyTorch implementation of StyleGAN3
Interkarma/daggerfall-unity
Open source recreation of Daggerfall in the Unity engine
bmartacho/UniPose
We propose UniPose, a unified framework for human pose estimation, based on our “Waterfall” Atrous Spatial Pooling architecture, that achieves state-of-art-results on several pose estimation metrics. Current pose estimation methods utilizing standard CNN architectures heavily rely on statistical postprocessing or predefined anchor poses for joint localization. UniPose incorporates contextual seg- mentation and joint localization to estimate the human pose in a single stage, with high accuracy, without relying on statistical postprocessing methods. The Waterfall module in UniPose leverages the efficiency of progressive filter- ing in the cascade architecture, while maintaining multi- scale fields-of-view comparable to spatial pyramid config- urations. Additionally, our method is extended to UniPose- LSTM for multi-frame processing and achieves state-of-the- art results for temporal pose estimation in Video. Our re- sults on multiple datasets demonstrate that UniPose, with a ResNet backbone and Waterfall module, is a robust and efficient architecture for pose estimation obtaining state-of- the-art results in single person pose detection for both sin- gle images and videos.
caffeine-overload/bandinchina
Naming and shaming companies who kowtow to Chinese censorship requests
DeLightCMU/PSA
This is an official implementation of "Polarized Self-Attention: Towards High-quality Pixel-wise Regression"
microsoft/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
facebookresearch/fastText
Library for fast text representation and classification.
facebookresearch/ic_gan
Official repository for the paper "Instance-Conditioned GAN" by Arantxa Casanova, Marlene Careil, Jakob Verbeek, Michał Drożdżal, Adriana Romero-Soriano.
PeterL1n/RobustVideoMatting
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
developer0hye/Yolo_Label
GUI for marking bounded boxes of objects in images for training neural network YOLO
thunil/Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
PaddlePaddle/PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
microsoft/SoftTeacher
Semi-Supervised Learning, Object Detection, ICCV2021
TencentARC/GFPGAN
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
google/hypernerf
Code for "HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields".
ilovepose/DarkPose
Distribution-Aware Coordinate Representation for Human Pose Estimation
xinntao/Real-ESRGAN
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
open-mmlab/mmselfsup
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
deepinsight/insightface
State-of-the-art 2D and 3D Face Analysis Project
CoinCheung/pytorch-loss
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
JunMa11/SegLossOdyssey
A collection of loss functions for medical image segmentation
Megvii-BaseDetection/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/
tensorflow/models
Models and examples built with TensorFlow