article · 2019

Weakly Supervised Object Detection With Segmentation Collaboration

Xiaoyan Li, Meina Kan, Shiguang Shan, Xilin Chen

Cited by 105Abstract and details only

Abstract

Weakly supervised object detection aims at learning precise object detectors, given image category labels. In recent prevailing works, this problem is generally formulated as a multiple instance learning module guided by an image classification loss. The object bounding box is assumed to be the one contributing most to the classification among all proposals. However, the region contributing most is also likely to be a crucial part or the supporting context of an object. To obtain a more accurate detector, in this work we propose a novel end-to-end weakly supervised detection approach, where a newly introduced generative adversarial segmentation module interacts with the conventional detection module in a collaborative loop. The collaboration mechanism takes full advantages of the complementary interpretations of the weakly supervised localization task, namely detection and segmentation tasks, forming a more comprehensive solution. Consequently, our method obtains more precise object bounding boxes, rather than parts or irrelevant surroundings. Expectedly, the proposed method achieves an accuracy of 53.7% on the PASCAL VOC 2007 dataset, outperforming the state-of-the-arts and demonstrating its superiority for weakly supervised object detection.

Cite this paper

APA 7

Li, X., Kan, M., Shan, S., & Chen, X. (2019). Weakly Supervised Object Detection With Segmentation Collaboration. https://doi.org/10.1109/iccv.2019.00983

MLA 9

Li, Xiaoyan, et al. “Weakly Supervised Object Detection With Segmentation Collaboration.” 2019, pp. 9734–43, https://doi.org/10.1109/iccv.2019.00983.

Chicago

Li, Xiaoyan, Meina Kan, Shiguang Shan, and Xilin Chen. 2019. “Weakly Supervised Object Detection With Segmentation Collaboration.” https://doi.org/10.1109/iccv.2019.00983.

Harvard

Li, X. et al. (2019) ‘Weakly Supervised Object Detection With Segmentation Collaboration’. Available at: https://doi.org/10.1109/iccv.2019.00983.

BibTeX

@article{li2019weakly,
  title = {{Weakly Supervised Object Detection With Segmentation Collaboration}},
  author = {Li, Xiaoyan and Kan, Meina and Shan, Shiguang and Chen, Xilin},
  pages = {9734--9743},
  year = {2019},
  doi = {10.1109/iccv.2019.00983}
}

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