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End-to-End Training of CNN Ensembles for Person Re-Identification
We propose an end-to-end ensemble method for person re-identification (ReID) to address the problem of overfitting in discriminative models.
RSSI-based Outdoor Localization with Single Unmanned Aerial Vehicle
Since locating of a target using simultaneous multiple UAVs is costly and impractical, achieving this task by utilizing single UAV becomes desirable.
3D Human Action Recognition with Siamese-LSTM Based Deep Metric Learning
This paper proposes a new 3D Human Action Recognition system as a two-phase system: (1) Deep Metric Learning Module which learns a similarity metric between two 3D joint sequences using Siamese-LSTM networks; (2) A Multiclass Classification Module that uses the output of the first module to produce the final recognition output.
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