Fully Convolutional Networks for Semantic Segmentation
Convolutional networks are driving advances in recog-nition. Convnets are not only improving for whole-image classification [20,31,32], but also making progress on lo-cal tasks with structured output. These include advances in bounding box object detection [29,10,17], part and key-point prediction [39,24], and local correspondence [24,8].
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