G-CNN: An Iterative Grid Based Object Detector

Abstract

We introduce G-CNN, an object detection technique based on CNNs which works without proposal algorithms. G-CNN starts with a multi-scale grid of fixed bounding boxes. We train a regressor to move and scale elements of the grid towards objects iteratively. G-CNN models the problem of object detection as finding a path from a fixed grid to boxes tightly… (More)
DOI: 10.1109/CVPR.2016.260

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@article{Najibi2016GCNNAI, title={G-CNN: An Iterative Grid Based Object Detector}, author={Mahyar Najibi and Mohammad Rastegari and Larry S. Davis}, journal={2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2016}, pages={2369-2377} }