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Found 3 papers, 1 papers with code
Hierarchical Visual Primitive Experts for Compositional Zero-Shot Learning
Previous works for CZSL often suffer from grasping the contextuality between attribute and object, as well as the discriminability of visual features, and the long-tailed distribution of real-world compositional data.
Prototype-Guided Saliency Feature Learning for Person Search
Existing person search methods integrate person detection and re-identification (re-ID) module into a unified system.
Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation
To overcome this limitation, we introduce a learnable module, cylindrical convolutional networks (CCNs), that exploit cylindrical representation of a convolutional kernel defined in the 3D space.
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