Improving object proposals with multi-thresholding straddling expansion

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Object-Proposal Evaluation Protocol is ‘Gameable’ (2015, background): “The algorithms that fall under this category are [1, 4, 5, 10, 45, 48].”
Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization (2016, background): “wering [37]. In this work we focus on the problem of generating bounding box object proposals rather than instance segmentations. Several approaches have been proposed in the literature for this task [1,2,5,6,8,18,25,26,29,40,44]. Among them our work is most related to the CNN-based objectness scori”
BING: Binarized normed gradients for objectness estimation at 300fps (2014, unknown): “In order to improve this unsatisfactory localization, we use multi-thresholding straddling expansion (MTSE) [38], which is an effective method to refine object proposals using segments.”
3D Object Proposals Using Stereo Imagery for Accurate Object Class Detection (2016, methodology): “ization quality using edge and superpixel based box refinement [31].”