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Found 3 papers, 1 papers with code
Convolutional Neural Networks with Layer Reuse
In this paper, we propose a CNN architecture, Layer Reuse Network (LruNet), where the convolutional layers are used repeatedly without the need of introducing new layers to get a better performance.
Multiple People Tracking Using Hierarchical Deep Tracklet Re-identification
To this end, tracklet re-identification is performed by utilizing a novel multi-stage deep network that can jointly reason about the visual appearance and spatio-temporal properties of a pair of tracklets, thereby providing a robust measure of affinity.
Person Identification from Partial Gait Cycle Using Fully Convolutional Neural Network
In gait recognition, normally, gait feature such as Gait Energy Image (GEI) is extracted from one full gait cycle.
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