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Found 4 papers, 2 papers with code
Self-Supervised Learning for Interventional Image Analytics: Towards Robust Device Trackers
An accurate detection and tracking of devices such as guiding catheters in live X-ray image acquisitions is an essential prerequisite for endovascular cardiac interventions.
Multi-animal pose estimation, identification and tracking with DeepLabCut
Estimating the pose of multiple animals is a challenging computer vision problem: frequent interactions cause occlusions and complicate the association of detected keypoints to the correct individuals, as well as having highly similar looking animals that interact more closely than in typical multi-human scenarios.
Ranked #4 on
Animal Pose Estimation
on TriMouse-161
Markerless tracking of user-defined features with deep learning
Quantifying behavior is crucial for many applications in neuroscience.
Deep Decision Network for Multi-Class Image Classification
During the learning phase, starting from the root network node, DDN automatically builds a network that splits the data into disjoint clusters of classes which would be handled by the subsequent expert networks.
