Weak-shot Object Detection

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Weak-shot object detection is also called cross-supervised or mixed-supervised object detection. Specifically, all categories are splitted into base categories and novel categories. Base categories have box-level annotation while novel categories only have image-level annotations.

  • Transfer common objectness: [1] [3]

  • Transfer the mapping from inaccurate bounding boxes to accurate bounding boxes: [2]

Reference

[1] Zhong, Yuanyi, et al. “Boosting weakly supervised object detection with progressive knowledge transfer.” European Conference on Computer Vision. Springer, Cham, 2020.

[2] Chen, Zitian, et al. “Cross-Supervised Object Detection.” arXiv preprint arXiv:2006.15056 (2020).

[3] Li, Yan, et al. “Mixed supervised object detection with robust objectness transfer.” IEEE transactions on pattern analysis and machine intelligence 41.3 (2018): 639-653.