A fully convolutional network regresses objectness from sonar images to achieve 96% recall using only 100 proposals per image, outperforming EdgeBoxes and Selective Search in efficiency.
Cascade of boosted classifiers for rapid detection of underwater objects
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Learning Objectness from Sonar Images for Class-Independent Object Detection
A fully convolutional network regresses objectness from sonar images to achieve 96% recall using only 100 proposals per image, outperforming EdgeBoxes and Selective Search in efficiency.