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Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation. (CVPR 2021)
Project and dataset webpage:
Dataset and code for the paper "First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations", CVPR 2018.
A dataset for pose estimation of hand when interacting with object and severe occlusions.
CVPR2020. HOnnotate: A method for 3D Annotation of Hand and Object Poses
Source code of CVPR 2020 paper, "HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation"
This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR 2018. (https://arxiv.org/abs/1711.08848).
Unofficial Implementation of H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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