Papers with Code 아카이브
Pose Estimation
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- 평가표
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Pose Estimation is a computer vision task where the goal is to detect the position and orientation of a person or an object. Usually, this is done by predicting the location of specific keypoints like hands, head, elbows, etc. in case of Human Pose Estimation.
A common benchmark for this task is MPII Human Pose
<span style="color:grey; opacity: 0.6">( Image credit: Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/PruneTruong/GLU-Net
Learning Accurate Dense Correspondences and When to Trust Them
https://github.com/Pulkitdzrt/ML-Image-Super-Resolution
https://github.com/Pxtri2156/AdelaiDet_v2
https://github.com/Qinhj07/ATOMCode
https://github.com/RACHANAMOVVA09/CenterNet
https://github.com/RPL-CS-UCL/litevloc_code
LiteVLoc: Map-Lite Visual Localization for Image Goal Navigation
https://github.com/RainerGasper/NeuralODE
https://github.com/RaiyaniNirav/Mask-R-CNN-for-water-detection
https://github.com/RajArPatra/Super-OCR
https://github.com/Rakeshvd/Instance-Segmenation-of-MRI-scan-using-Mask-RCNN
https://github.com/Rakeshvd/Semantic-Segmenation-of-MRI-scan-using-Mask-RCNN
https://github.com/Ranja-S/sensitivity
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
https://github.com/RemyMess/MMVRC_ICCV_2021_Skeleton_based_Action_Recognition
UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles
https://github.com/RenFeiTemp/murauer/tree/master/source/my_net
Learning Pose Specific Representations by Predicting Different Views
https://github.com/RezisEwig/esrgan
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/RiplleYang/DenseFusion
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
https://github.com/RituYadav92/Radar-RGB-Attentive-Multimodal-Object-Detection
https://github.com/RobotLocomotion/LabelFusion
LabelFusion: A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered Scenes
https://github.com/Rocketbase-AI/rockets-lightpose
Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose
https://github.com/RonLek/FastV2C-HandNet
DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation
https://github.com/Rosie-Brigham/sesmeg
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/RoyaSabbagh/mobile_manipulation_planning
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/SAtacker/PosenetTflite
https://github.com/SCP-173-cool/match_rcnn
https://github.com/SJHNJU/VDSR
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
https://github.com/SJTU-DL-lab/3d-pose-baseline
A simple yet effective baseline for 3d human pose estimation
https://github.com/SUYEgit/Surgery-Robot-Detection-Segmentation
https://github.com/Saadbutt321/Conversion-of-Pakistan-Sign-Language-into-Text-and-Speech-using-OpenPose-and-Machine-Learning
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/ScaDS/Match-R-CNN-Repoduction
https://github.com/SeonghwanSeo/RxnFlow
PharmacoNet: Accelerating Large-Scale Virtual Screening by Deep Pharmacophore Modeling
https://github.com/SfTI-Robotics/ROS-label-node
https://github.com/ShaoweiSong0718/HigherHRNet-Human-Pose-Estimation
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
https://github.com/ShawnHXH/GNN-CCA
https://github.com/Shiaoming/ALIKED
ALIKE: Accurate and Lightweight Keypoint Detection and Descriptor Extraction
https://github.com/ShiqiYu/libfacedetection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.