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Improving Multi-label Recognition using Class Co-Occurrence Probabilities
Multi-label Recognition (MLR) involves the identification of multiple objects within an image.
Learning Implicit Representation for Reconstructing Articulated Objects
Our method simultaneously estimates the visible (explicit) representation (3D shapes, colors, camera parameters) and the implicit skeletal representation, from motion cues in the object video without 3D supervision.
Feature Compression for Rate Constrained Object Detection on the Edge
In this work, we consider a "split computation" system to offload a part of the computation of the YOLO object detection model.
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