Focal Loss for Dense Object Detection
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Cites background or methods from "Focal Loss for Dense Object Detecti..."
...The final resolution of the masks has stride 4 and each mask is supervised independently using the DICE/F-1 loss [28] and Focal loss [23]....
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...More recent detectors [37,23,53] use non-unique assignment rules between ground truth and predictions together with an NMS....
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...Modern detectors address this set prediction task in an indirect way, by defining surrogate regression and classification problems on a large set of proposals [37,5], anchors [23], or window centers [53,46]....
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...anchors [23] or a grid of possible object centers [53,46]....
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"Focal Loss for Dense Object Detecti..." refers methods in this paper
...The introduction of HOG [4] and integral channel features [5] gave rise to effective methods for pedestrian detection....
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"Focal Loss for Dense Object Detecti..." refers methods in this paper
...Through a sequence of advances [10, 27, 19, 13], this two-stage framework consistently achieves top accuracy on the challenging COCO benchmark [20]....
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...We present experimental results on the bounding box detection track of the challenging COCO benchmark [20]....
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