In this paper, we propose a divergent activation (DA) approach, and target at learning complementary and discriminative visual patterns for image classification ...
In this paper, we propose a divergent activation (DA) approach, and target at learning complementary and discriminative visual patterns for image classification ...
DANet: Divergent Activation for Weakly Supervised Object Localization. Haolan ... Figure 4: Activation maps and bounding box localization results of DANet on ...
Weakly supervised object localization remains a chal- lenge when learning object localization models from im- age category labels.
We propose a divergent activation (DA) approach, and target at learning complementary and discriminative visual patterns for image classification and weakly ...
A divergent activation (DA) approach is proposed, and target at learning complementary and discriminative visual patterns for image classification and ...
... The DANet model, introduced in CVPR 2019 (Xue et al., 2019) , uses deep semantic information about snow extracted by ResNet-34 to adaptively integrate local ...
In this paper, we propose a divergent activation (DA) approach, and target at learning complementary and discriminative visual patterns for image classification ...
DANet: Divergent Activation for Weakly Supervised Object Localization, ICCV, PDF ; Attention-Based Dropout Layer for Weakly Supervised Object Localization, CVPR ...
Wu et al. (2022a) proposed the background activation suppression (BAS) method that suppresses background activation values to learn the whole region of objects.