A multi camera unsupervised domain adaptation pipeline for object detection in cultural sites through adversarial learning and self-training (2022-06-01T00:00:00.000000Z)
A multi camera unsupervised domain adaptation pipeline for object detection in cultural sites through adversarial learning and self-training
A new domain adaptation method which outperforms current state-of-the-art approaches combining the benefits of aligning the domains at the feature and pixel level with a self-training process is presented.
Authors
Antonino Furnari
18 papers
G. Farinella
19 papers
Giovanni Pasqualino
2 papers
References36 items
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Attention-based domain adaptation for single-stage detectors
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Generative and self-supervised domain adaptation for one-stage object detection
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Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation
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I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors