Proposal Learning for Semi-Supervised Object Detection

Ramaiah Chetan
Ramaiah Chetan
Xu Ran
Xu Ran
Cited by: 0|Views22

Abstract:

In this paper, we focus on semi-supervised object detection to boost accuracies of proposal-based object detectors (a.k.a. two-stage object detectors) by training on both labeled and unlabeled data. However, it is non-trivial to train object detectors on unlabeled data due to the unavailability of ground truth labels. To address this pr...More

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