Supervised Edge Attention Network for Accurate Image Instance Segmentation.
Xier ChenYanchao LianLicheng JiaoHaoran WangYanjie GaoLingling ShiPublished in: ECCV (27) (2020)
Keyphrases
- edge detection
- segmentation algorithm
- segmentation method
- image segmentation
- image edges
- multiple scales
- multiscale
- image analysis
- gray value
- image regions
- grey level
- intermediate level vision
- image data
- image content
- input image
- adjacent regions
- segmented images
- image features
- edge pixels
- image segmentation algorithm
- image gradient
- gray level images
- image retrieval
- image pixels
- energy function
- test images
- region segmentation
- adaptive thresholding
- edge map
- homogeneous regions
- single image
- region growing
- energy functional
- edge information
- image segments
- intensity variations
- image classification
- high resolution
- region boundaries
- segmentation errors
- graph cuts
- edge direction
- level set
- shape prior
- object segmentation
- medical images
- hough transform
- multiple objects
- bounding box
- pixel level
- intensity profile
- color features
- edge detector
- mumford shah
- geodesic active contours
- intensity distribution
- foreground and background
- scale space
- watershed segmentation
- object contours
- gradient information
- piecewise constant
- edge points
- region merging