Dec 29, 2021 · This paper attributes these issues to the unawareness of background cues, and propose the background-aware classification activation map (B-CAM)
Aug 29, 2023 · This additional feature can provide background cues for the object classifier to suppress the background activations on object localization maps ...
Nov 3, 2023 · Abstract—Weakly supervised object localization (WSOL) re- laxes the requirement of dense annotations for object localization.
Weakly supervised object localization (WSOL) relaxes the requirement of dense annotations for object localization by using image-level annotation to supervise ...
[unofficial] Background-aware Classification Activation Map for Weakly Supervised Object Localization. Paper_link: https://arxiv.org/pdf/2112.14379.pdf ...
Source code of the paper: Background-aware Classification Activation Map for Weakly Supervised Object Localization". 5 stars 2 forks Branches Tags Activity.
To address it, we propose Class RE-Activation Mapping (CREAM), a novel clustering-based approach to boost the activation values of the integral object regions.
To evaluate the quality of the class activation maps produced by LayerCAM, we apply them to weakly-supervised object localization and semantic segmentation. 3.
The proposed method, named non-local combinational class activation maps (NL-CCAM), obtains superior performance compared to previous methods on ...
Besides, the designed two modules can effectively highlight foreground objects for localization and discover discriminative parts for classification.
Missing: Background- | Show results with:Background-