https://github.com/African-Robotics-Unit/AcinoSet
공식 코드AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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>
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild
Markerless tracking of user-defined features with deep learning
Structured Context Enhancement Network for Mouse Pose Estimation
Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence
Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding
SuperAnimal pretrained pose estimation models for behavioral analysis
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity
From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation
Towards Multi-Modal Animal Pose Estimation: A Survey and In-Depth Analysis
Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos
T-LEAP: Occlusion-robust pose estimation of walking cows using temporal information
CapeX: Category-Agnostic Pose Estimation from Textual Point Explanation
Consistent multi-animal pose estimation in cattle using dynamic Kalman filter based tracking
Edge Weight Prediction For Category-Agnostic Pose Estimation
A Graph-Based Approach for Category-Agnostic Pose Estimation
SPAC-Net: Synthetic Pose-aware Animal ControlNet for Enhanced Pose Estimation
Prior-Aware Synthetic Data to the Rescue: Animal Pose Estimation with Very Limited Real Data
APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking
APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking
Probabilistic Prompt Distribution Learning for Animal Pose Estimation
MBE-ARI: A Multimodal Dataset Mapping Bi-directional Engagement in Animal-Robot Interaction
APTv2: Benchmarking Animal Pose Estimation and Tracking with a Large-scale Dataset and Beyond
ViTPose++: Vision Transformer for Generic Body Pose Estimation
CLAMP: Prompt-based Contrastive Learning for Connecting Language and Animal Pose
SuperAnimal pretrained pose estimation models for behavioral analysis
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.