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SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection.

, , , and . NeurIPS, page 22770-22782. (2021)

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SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection., , , and . NeurIPS, page 22770-22782. (2021)Leveraging orientation for weakly supervised object detection with application to firearm localization., , , , and . Neurocomputing, (2021)Cal-DETR: Calibrated Detection Transformer., , , , and . CoRR, (2023)Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection., , , and . CVPR, page 11474-11483. IEEE, (2023)Detection and Localization of Firearm Carriers in Complex Scenes for Improved Safety Measures., , , and . CoRR, (2023)Towards Improving Calibration in Object Detection Under Domain Shift., , , and . NeurIPS, (2022)Localizing Firearm Carriers By Identifying Human-Object Pairs., , , , and . ICIP, page 2031-2035. IEEE, (2020)Domain Adaptive Object Detection via Balancing Between Self-Training and Adversarial Learning., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (12): 14353-14365 (December 2023)Localizing Firearm Carriers by Identifying Human-Object Pairs., , , and . CoRR, (2020)Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection., , , and . CoRR, (2021)