Papers with Code 아카이브
Multi-Person Pose Estimation
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Multi-person pose estimation is the task of estimating the pose of multiple people in one frame.
<span style="color:grey; opacity: 0.6">( Image credit: Human Pose Estimation with TensorFlow )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/alililia/gpu_maskrcnn_mobilenetv1
https://github.com/anatolix/keras_Realtime_Multi-Person_Pose_Estimation
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/anshky/HR-NET
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/asyrovprog/cs230project
https://github.com/ayeshathanawalla/DeepLabCut
https://github.com/ayoolaolafenwa/PixelLib
https://github.com/baizhenmao95/2019-ZTE-Algorithm-Competition
DAC: Data-free Automatic Acceleration of Convolutional Networks
https://github.com/baodi23/hourglass-facekeypoints-detection
Associative Embedding: End-to-End Learning for Joint Detection and Grouping
https://github.com/baoshengyu/deep-high-resolution-net.pytorch
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/bearpaw/pytorch-pose
https://github.com/beassssry/U
https://github.com/bethgelab/siamese-mask-rcnn
https://github.com/blake58/openpose
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/blueardour/AdelaiDet
https://github.com/bmartacho/BAPose
BAPose: Bottom-Up Pose Estimation with Disentangled Waterfall Representations
https://github.com/boom85423/Cartoon-style-Stickers-Generator
https://github.com/bowu1004/instance_segmentation_RealSense
https://github.com/busyboxs/What-I-have-star
https://github.com/busyboxs/faster_rcnn_voc
https://github.com/cai-jianfeng/ROMP_mindspore
https://github.com/casiopa/Madrid_Rooftops
https://github.com/chandyalex/Darkpose_Tensorflow
Distribution-Aware Coordinate Representation for Human Pose Estimation
https://github.com/charlesYangM/py-faster-rcnn-80.28
https://github.com/charlesshang/fastmaskrcnn
https://github.com/chengguixiong1010/rnn_STAF_2dpose
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/chenwuperth/ClaRAN
https://github.com/chenyouxin113/sota-status-investigation
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/chihyanghsu0805/object_detection_yolo
https://github.com/chongchen20/Deeplabcut
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model
https://github.com/chonyy/AI-basketball-analysis
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/chuanqichen/deepcoaching
https://github.com/code-implementation1/Code2/tree/main/AlphaPose
AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time
https://github.com/code-implementation1/Code8/tree/main/simple_baselines
https://github.com/code-implementation1/Code8/tree/main/simple_pose
Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
https://github.com/code-implementation1/Code9/tree/main/Efficientnet
EfficientHRNet: Efficient Scaling for Lightweight High-Resolution Multi-Person Pose Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.