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Weizeng Lu

2 accepted papers

2021

Online Refinement of Low-Level Feature Based Activation Map for Weakly Supervised Object Localization

ICCV 2021poster

We present a two-stage learning framework for weakly supervised object localization (WSOL). While most previous efforts rely on high-level feature based CAMs (Class Activation Maps), this paper proposes to localize objects using the low-level feature based activation maps. In the first stage, an act…

Cited by 78PDFcodeScholar
2020

Geometry Constrained Weakly Supervised Object Localization

ECCV 2020poster

We propose a geometry constrained network, termed GCNet, for weakly supervised object localization (WSOL). GC-Net consists of three modules: a detector, a generator and a classifier. The detector predicts the object location defined by a set of coefficients describing a geometric shape (i.e. ellipse or…