Papers with Code 아카이브
Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 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/cvg/gluestick
공식 코드GlueStick: Robust Image Matching by Sticking Points and Lines Together
https://github.com/cvg/lightglue
공식 코드https://github.com/cvg/pixloc
공식 코드Back to the Feature: Learning Robust Camera Localization from Pixels to Pose
https://github.com/cviviers/YOLOv5-6D-Pose
공식 코드Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries
https://github.com/cvlab-columbia/zero123
공식 코드https://github.com/cvlab-epfl/perspective-flow-aggregation
공식 코드Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation
https://github.com/cvlab-epfl/segmentation-driven-pose
공식 코드https://github.com/cvlab-epfl/single-stage-pose
공식 코드https://github.com/cvmi-lab/ist-net
공식 코드IST-Net: Prior-free Category-level Pose Estimation with Implicit Space Transformation
https://github.com/cwc1260/handdagt
공식 코드HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimation
https://github.com/cwc1260/handdiff
공식 코드HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud
https://github.com/cwc1260/handfold
공식 코드https://github.com/cxt98/ACF_perception
공식 코드Manipulation-Oriented Object Perception in Clutter through Affordance Coordinate Frames
https://github.com/cyk990422/bopr
공식 코드BoPR: Body-aware Part Regressor for Human Shape and Pose Estimation
https://github.com/dachunkai/ev-deblurvsr
공식 코드https://github.com/dachunkai/evtexture
공식 코드EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
https://github.com/dahiyaaneesh/peclr
공식 코드https://github.com/daizhirui/bevnet
공식 코드BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning
https://github.com/daniegr/EfficientPose
공식 코드https://github.com/danielajisafe/mirror-aware-neural-humans
공식 코드https://github.com/danielkyr/smal
공식 코드Under the Cover Infant Pose Estimation using Multimodal Data
https://github.com/daniilidis-group/spherical-cnn
공식 코드https://github.com/daniilidis-group/swscnn
공식 코드https://github.com/danini/clustering-in-consensus-space
공식 코드Finding Geometric Models by Clustering in the Consensus Space
https://github.com/danini/pose-graph-initialization
공식 코드https://github.com/danini/superansac
공식 코드https://github.com/dariopavllo/textured-3d-gan
공식 코드Learning Generative Models of Textured 3D Meshes from Real-World Images
https://github.com/data-science-in-mechanical-engineering/sae-rl
공식 코드https://github.com/davidlainesv/sl-tssi-densenet
공식 코드Isolated Sign Language Recognition based on Tree Structure Skeleton Images
https://github.com/davidpengucf/daf-dg
공식 코드A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose Estimation
https://github.com/davidpengucf/epic
공식 코드Exploiting Aggregation and Segregation of Representations for Domain Adaptive Human Pose Estimation
https://github.com/davidpengucf/sfdahpe
공식 코드https://github.com/davrempe/caspr
공식 코드CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations
https://github.com/davrempe/contact-human-dynamics
공식 코드https://github.com/davrempe/humor
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.