9 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.CV2022
Selective Multi-Scale Learning for Object Detection
Junliang Chen, Weizeng Lu, Linlin Shen
Pyramidal networks are standard methods for multi-scale object detection. Current researches on feature pyramid networks usually adopt layer connections to collect features from ce…
cs.CV2021
Online Refinement of Low-level Feature Based Activation Map for Weakly Supervised Object Localization
Jinheng Xie, Cheng Luo, Xiangping Zhu +3
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…
cs.CV2020★ 9 cited
Geometry Constrained Weakly Supervised Object Localization
Weizeng Lu, Xi Jia, Weicheng Xie +3
We propose a geometry constrained network, termed GC-Net, for weakly supervised object localization (WSOL). GC-Net consists of three modules: a detector, a generator and a classifi…