Papers with Code 아카이브
Pose Prediction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 3
- 보존된 평가 기록
- 6
Pose prediction is to predict future poses given a window of previous poses.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
SketchParse : Towards Rich Descriptions for Poorly Drawn Sketches using Multi-Task Hierarchical Deep Networks
Harvesting Multiple Views for Marker-less 3D Human Pose Annotations
Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach
KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors
Protein-Ligand Scoring with Convolutional Neural Networks
Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning
Marr Revisited: 2D-3D Alignment via Surface Normal Prediction
Fine-grained pose prediction, normalization, and recognition
Key-Pose Prediction in Cyclic Human Motion
R-CNNs for Pose Estimation and Action Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.