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Found 3 papers, 2 papers with code
Selective Multi-Scale Learning for Object Detection
When integrated with SMSL, two-stage detectors can get around 1. 0\% improvement in AP.
Online Refinement of Low-level Feature Based Activation Map for Weakly Supervised Object Localization
In the first stage, an activation map generator produces activation maps based on the low-level feature maps in the classifier, such that rich contextual object information is included in an online manner.
Geometry Constrained Weakly Supervised Object Localization
The detector predicts the object location defined by a set of coefficients describing a geometric shape (i. e. ellipse or rectangle), which is geometrically constrained by the mask produced by the generator.
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