Animal

Datasets:

• SPAC-Animals: A synthetic images for two species, zebra and rhino, generated by SPAC-Net.
• MammalNet: A Large-scale Video Benchmark for Mammal Recognition and Behavior Understanding
• Animal Kingdom Dataset
• AnimalTrack: A Benchmark for Multi-Animal Tracking in the Wild
• PrimateFace: A deep learning-based system for primate facial analysis

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Recent Publications and Codes:

• BARC: Breed-Augmented Regression Using Classification for 3D Dog Reconstruction from Images
• BITE: Beyond Priors for Improved Three-D Dog Pose Estimation
• MagicPony: Learning Articulated 3D Animals in the Wild
• CLAMP: Prompt-based Contrastive Learning for Connecting Language and Animal Pose
• ScarceNet: Animal Pose Estimation with Scarce Annotations
• Barc: Learning to regress 3d dog shape from images by exploiting breed information
• LASSIE: Learning Articulated Shape from Sparse Image Ensemble via 3D Part Discovery