Paper

Rethinking the Route Towards Weakly Supervised Object Localization

Weakly supervised object localization (WSOL) aims to localize objects with only image-level labels. Previous methods often try to utilize feature maps and classification weights to localize objects using image level annotations indirectly... (read more)

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