Papers with Code 아카이브
Animal Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 8
- 보존된 평가 기록
- 38
Animal pose estimation is the task of identifying the pose of an animal.
<span style="color:grey; opacity: 0.6">( Image credit: Using DeepLabCut for 3D markerless pose estimation across species and behaviors )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Probabilistic Prompt Distribution Learning for Animal Pose Estimation
Consistent multi-animal pose estimation in cattle using dynamic Kalman filter based tracking
Learning Structure-Supporting Dependencies via Keypoint Interactive Transformer for General Mammal Pose Estimation
MamKPD: A Simple Mamba Baseline for Real-Time 2D Keypoint Detection
Edge Weight Prediction For Category-Agnostic Pose Estimation
Towards Multi-Modal Animal Pose Estimation: A Survey and In-Depth Analysis
Unsupervised Prior Learning: Discovering Categorical Pose Priors from Videos
PoseBench: Benchmarking the Robustness of Pose Estimation Models under Corruptions
Benchmarking Monocular 3D Dog Pose Estimation Using In-The-Wild Motion Capture Data
CNN Based Flank Predictor for Quadruped Animal Species
CapeX: Category-Agnostic Pose Estimation from Textual Point Explanation
Domain adaptive pose estimation via multi-level alignment
Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos
APTv2: Benchmarking Animal Pose Estimation and Tracking with a Large-scale Dataset and Beyond
A Graph-Based Approach for Category-Agnostic Pose Estimation
Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence
X-Pose: Detecting Any Keypoints
Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape
Of Mice and Pose: 2D Mouse Pose Estimation from Unlabelled Data and Synthetic Prior
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity
SPAC-Net: Synthetic Pose-aware Animal ControlNet for Enhanced Pose Estimation
ScarceNet: Animal Pose Estimation with Scarce Annotations
3D-POP - An automated annotation approach to facilitate markerless 2D-3D tracking of freely moving birds with marker-based motion capture
ViTPose++: Vision Transformer for Generic Body Pose Estimation
Prior-Aware Synthetic Data to the Rescue: Animal Pose Estimation with Very Limited Real Data
CLAMP: Prompt-based Contrastive Learning for Connecting Language and Animal Pose
APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking
Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding
SemiMultiPose: A Semi-supervised Multi-animal Pose Estimation Framework
A Unified Framework for Domain Adaptive Pose Estimation
SuperAnimal pretrained pose estimation models for behavioral analysis
Pose Recognition in the Wild: Animal pose estimation using Agglomerative Clustering and Contrastive Learning
Incremental Learning for Animal Pose Estimation using RBF k-DPP
AP-10K: A Benchmark for Animal Pose Estimation in the Wild
SyDog: A Synthetic Dog Dataset for Improved 2D Pose Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.