https://github.com/chakkritte/eeea-net
공식 코드EEEA-Net: An Early Exit Evolutionary Neural Architecture Search
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/chaneyddtt/Convolutional-Sequence-to-Sequence-Model-for-Human-Dynamics
공식 코드https://github.com/chaneyddtt/Generating-Multiple-Hypotheses-for-3D-Human-Pose-Estimation-with-Mixture-Density-Network
공식 코드Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network
https://github.com/chaneyddtt/UDA-Animal-Pose
공식 코드From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation
https://github.com/chaneyddtt/scarcenet
공식 코드https://github.com/chaneyddtt/weakly-supervised-3d-pose-generator
공식 코드Weakly Supervised Generative Network for Multiple 3D Human Pose Hypotheses
https://github.com/changlongjianggit/a2j-transformer
공식 코드https://github.com/charlesnchr/vsr-sim
공식 코드Spatio-temporal Vision Transformer for Super-resolution Microscopy
https://github.com/charrrrrlie/mask-as-supervision
공식 코드Mask as Supervision: Leveraging Unified Mask Information for Unsupervised 3D Pose Estimation
https://github.com/charrrrrlie/x-as-supervision
공식 코드X as Supervision: Contending with Depth Ambiguity in Unsupervised Monocular 3D Pose Estimation
https://github.com/charsyme/Human-Data-Generation-Framework
공식 코드Efficient Realistic Data Generation Framework leveraging Deep Learning-based Human Digitization
https://github.com/cheind/robot-pose
공식 코드https://github.com/chen-xin-94/ocdet
공식 코드OCDet: Object Center Detection via Bounding Box-Aware Heatmap Prediction on Edge Devices with NPUs
https://github.com/chenbys/fmmp
공식 코드Recurrent Feature Mining and Keypoint Mixup Padding for Category-Agnostic Pose Estimation
https://github.com/chenbys/metapoint
공식 코드Meta-Point Learning and Refining for Category-Agnostic Pose Estimation
https://github.com/chengtan9907/OpenSTL
공식 코드https://github.com/chenhongyiyang/egoposeformer
공식 코드EgoPoseFormer: A Simple Baseline for Stereo Egocentric 3D Human Pose Estimation
https://github.com/chenkang455/usp-gaussian
공식 코드USP-Gaussian: Unifying Spike-based Image Reconstruction, Pose Correction and Gaussian Splatting
https://github.com/chennydeng/mm-ape
공식 코드Towards Multi-Modal Animal Pose Estimation: A Survey and In-Depth Analysis
https://github.com/chensong1995/HybridPose
공식 코드HybridPose: 6D Object Pose Estimation under Hybrid Representations
https://github.com/chensong1995/deblursr
공식 코드DeblurSR: Event-Based Motion Deblurring Under the Spiking Representation
https://github.com/chensong1995/ppln
공식 코드PPLNs: Parametric Piecewise Linear Networks for Event-Based Temporal Modeling and Beyond
https://github.com/chenvoid/diffusiontalker
공식 코드https://github.com/chenyilun95/DSGN
공식 코드https://github.com/chenyilun95/tf-cpn
공식 코드https://github.com/cherubicXN/logocap
공식 코드Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation
https://github.com/chevalierNoir/FS-Detection
공식 코드https://github.com/chinhsuanwu/ifusion
공식 코드iFusion: Inverting Diffusion for Pose-Free Reconstruction from Sparse Views
https://github.com/chiyich/egovsr
공식 코드EgoVSR: Towards High-Quality Egocentric Video Super-Resolution
https://github.com/choyaa/render2loc
공식 코드Render-and-Compare: Cross-View 6 DoF Localization from Noisy Prior
https://github.com/choyingw/SynergyNet
공식 코드Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
https://github.com/chrischoy/DeepGlobalRegistration
공식 코드https://github.com/christmasfan/ssl_denoising_segmentation
공식 코드Pseudo-Label Noise Suppression Techniques for Semi-Supervised Semantic Segmentation
https://github.com/cifkam/focalposepp
공식 코드FocalPose++: Focal Length and Object Pose Estimation via Render and Compare
https://github.com/circejie/hdifftg
공식 코드HDiffTG: A Lightweight Hybrid Diffusion-Transformer-GCN Architecture for 3D Human Pose Estimation
https://github.com/ckkelvinchan/basicvsr_plusplus
공식 코드On the Generalization of BasicVSR++ to Video Deblurring and Denoising
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.