Domain Adaptive Object Detection via Balancing Between Self-Training and Adversarial Learning

Deep learning based object detectors struggle generalizing to a new target domain bearing significant variations in object and background. Most current methods align domains by using image or instance-level adversarial feature alignment. This often suffers due to unwanted background and lacks class-...

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Veröffentlicht in:	arXiv.org 2023-11
Hauptverfasser:	Muhammad Akhtar Munir, Khan, Muhammad Haris, M Saquib Sarfraz, Ali, Mohsen
Format:	Artikel
Sprache:	eng
Schlagworte:	Ablation Adaptation Alignment Deep learning Labels Object recognition Predictions Tiling Uncertainty
Online-Zugang:	Volltext
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