We present the first fully convolutional end-to-end solution for instance-aware semantic segmentation task. It inherits all the merits of FCNs for semantic segmentation [29] and instance mask proposal [5]
Li et al. REF proposed the first fully convolutional end-to-end solution for instance-aware semantic segmentation, which inherits all the merits of FCNs for semantic segmentation and instance mask proposal, and performs instance mask prediction and classification jointly.
Fully Convolutional Instance-Aware Semantic Segmentation
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Computer Science