louyanyang

3D-Multi-Person-Pose

3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks

AutoML

AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch

awesome-6d-object

Awesome work on object 6 DoF pose estimation

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

Background-Matting

Background Matting: The World is Your Green Screen

CAPTRA

[ICCV 2021, Oral] Official PyTorch implementation of CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds

catgrasp

[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation

CCNet

CCNet: Criss-Cross Attention for Semantic Segmentation (ICCV 2019).

DualPoseNet

Code for "DualPoseNet: Category-level 6D Object Pose and Size EstimationUsing Dual Pose Network with Refined Learning of Pose Consistency"

EdgeNets

This repository contains the source code of our work on designing efficient CNNs for computer vision

EfficientDet.Pytorch

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

EPro-PnP

[CVPR 2022 Oral] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

FBA_Matting

Official repository for the paper F, B, Alpha Matting

FusionMatting

Project page for paper A Late Fusion CNN for Digital Matting.

Gaussian_YOLOv3

Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)

human

Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition

keras-GaussianYOLOv3

Gaussian YOLOv3 (An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)) implementation in Keras and Tensorflow

LEDNet

LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation

MeFaMo

MHFormer

[CVPR 2022] MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation

micronet

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

mmpose

OpenMMLab Pose Estimation Toolbox and Benchmark.

PaddleHub

Awesome Pre-trained Models Toolkit Based on PaddlePaddle（180+ models, including CV, NLP, Audio and Video, Onekey Inference&Serving）

PaddleOCR

Awesome multilingual OCR toolkits based on PaddlePaddle （multilingual recognition: English, Chinese, Korean, Japanese, German, French etc. 3.5M practical ultra lightweight OCR system, support training and deployment among server, mobile, embedded and IoT devices）

PoseAug

[CVPR 2021] PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation, (Oral, Best Paper Candidate)

PoseFormer

The project is an official implementation of our paper "3D Human Pose Estimation with Spatial and Temporal Transformers".

PyTorch_Gaussian_YOLOv3

PyTorch implementation of Gaussian YOLOv3 (including training code for COCO dataset)

StacNAS

TensorRT

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

tensorrt-inference-server

The TensorRT Inference Server provides a cloud inferencing solution optimized for NVIDIA GPUs.