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20222026
most citedShared Manifold Learning Using a Triplet Network for Multiple Sensor Translation and Fusion with Missing Data

12 citations · 12 across the 2 of their papers we have counts for

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cs.CV2025

Multi-Task Learning with Multi-Annotation Triplet Loss for Improved Object Detection

Meilun Zhou, Aditya Dutt, Alina Zare

Triplet loss traditionally relies only on class labels and does not use all available information in multi-task scenarios where multiple types of annotations are available. This pa…

cs.CV2022★ 12 cited

Shared Manifold Learning Using a Triplet Network for Multiple Sensor Translation and Fusion with Missing Data

Aditya Dutt, Alina Zare, Paul Gader

Heterogeneous data fusion can enhance the robustness and accuracy of an algorithm on a given task. However, due to the difference in various modalities, aligning the sensors and em…