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03/25/2023
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection
Deep neural networks (DNNs) have enabled astounding progress in several ...
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09/15/2022
Towards Improving Calibration in Object Detection Under Domain Shift
The increasing use of deep neural networks in safety-critical applicatio...
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10/01/2021
Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection
We study adapting trained object detectors to unseen domains manifesting...
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05/19/2020
Localizing Firearm Carriers by Identifying Human-Object Pairs
Visual identification of gunmen in a crowd is a challenging problem, tha...
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04/22/2019
