Papers with Code 아카이브
Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 17
- 평가표
- 31
- 보존된 평가 기록
- 235
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/zhangchi9/Airbus_Ship_Detection
https://github.com/zhangtianmingxp/rbpn_mindspore
Recurrent Back-Projection Network for Video Super-Resolution
https://github.com/zhaolongkzz/human_motion
https://github.com/zhaoqyu/openpose-mge-pt
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/zhaott618/centernet_codes_notes
https://github.com/zhaozhijie1997/Unifed-Lane-and-Traffic-Sign-detection
https://github.com/zhec/tf-pose-estimation
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
https://github.com/zhengkang86/ram_person_id
https://github.com/zhenglinzhou/headstudio
https://github.com/zhenhuat/STCFormer
https://github.com/zhezh/occlusion_person
AdaFuse: Adaptive Multiview Fusion for Accurate Human Pose Estimation in the Wild
https://github.com/zhimingzo/modulated-gcn
A simple yet effective baseline for 3d human pose estimation
https://github.com/zhiqic/chartreader
https://github.com/zhong110020/hand3d
https://github.com/zhong110020/py-faster-rcnn
https://github.com/zhongshsh/4d-animal
https://github.com/zhou13/symmetrynet
https://github.com/zhouxian/FluidLab
Diffusion-based Generation, Optimization, and Planning in 3D Scenes
https://github.com/zhuMingXu/rearHeadLightDetection
https://github.com/zhubinQAQ/Ins
https://github.com/zhuqunxi/My_numpy_NODE
https://github.com/zhusiling/EDSR
https://github.com/zhusiling/EDVR
EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
https://github.com/zhusiling/TecoGAN
Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation
https://github.com/zimka/lite_hrnet_tfk
https://github.com/zjjMaiMai/Deep-Alignment-Network-A-convolutional-neural-network-for-robust-face-alignment
Deep Alignment Network: A convolutional neural network for robust face alignment
https://github.com/zju3dv/EasyMocap
Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views
https://github.com/zju3dv/GIFT
GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs
https://github.com/zju3dv/mvpose
Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views
https://github.com/zju3dv/pvnet
https://github.com/zju3dv/smap
https://github.com/zubair-irshad/CenterSnap
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
https://github.com/zuocx1996/tic
https://github.com/zuoym15/craves.ai
CRAVES: Controlling Robotic Arm with a Vision-based Economic System
https://github.com/zxhuang97/Official-implementation-StyleMixer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.