Showing results for Wild Fusion: Individual Animal Identification with Calibrated Similarity Fusion.
Aug 23, 2024 · We propose a new method - WildFusion - for individual identification of a broad range of animal species.
Missing: Wild | Show results with:Wild
Aug 23, 2024 · We propose a new method – WildFusion – for individual identification of a broad range of animal species.
Aug 28, 2024 · We propose a new method - WildFusion - for individual identification of a broad range of animal species. The method fuses deep scores (e.g., ...
WildFusion, with both local and global similarity scores, outperforms the state-of-the-art significantly - mean accuracy reached 84.0%, an increase of 8.5 ...
We propose a new method - WildFusion - for individual identification of a broad range of animal species. The method fuses deep scores (e.g., ...
WildFusion, with both local and global similarity scores, outperforms the state-of-the-art significantly - mean accuracy reached 84. 0%, an increase of 8. 5 ...
We propose a new method - WildFusion - for individual identification of a broad range of animal species. The method fuses deep scores (e.g., MegaDescriptor or ...
Missing: Wild | Show results with:Wild
This task aims to develop a ReID model capable of handling any unseen wildlife category it encounters.
Jul 13, 2023 · Our objective is to locate and provide a unique identifier for each mouse in a cluttered home-cage environment through time, as a precursor to automated ...
Apr 12, 2022 · Estimating the pose of multiple animals is a challenging computer vision problem: frequent interactions cause occlusions and complicate the�...