7 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.CV2020
Hierarchical Complementary Learning for Weakly Supervised Object Localization
Sabrina Narimene Benassou, Wuzhen Shi, Feng Jiang +1
Weakly supervised object localization (WSOL) is a challenging problem which aims to localize objects with only image-level labels. Due to the lack of ground truth bounding boxes, c…
cs.CV2020★ 7 cited
Entropy Guided Adversarial Model for Weakly Supervised Object Localization
Sabrina Narimene Benassou, Wuzhen Shi, Feng Jiang
Weakly Supervised Object Localization is challenging because of the lack of bounding box annotations. Previous works tend to generate a class activation map i.e CAM to localize the…