High-for-low and low-for-high: Efficient boundary detection from deep object features and its applications to high-level vision

Proceedings of the IEEE International Conference on Computer Vision

Volumn 2015 International Conference on Computer Vision, ICCV 2015, Issue , 2015, Pages 504-512

  Bertasius, Gedas ^a   Shi, Jianbo ^a   Torresani, Lorenzo ^b  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b DARTMOUTH COLLEGE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; COMPUTER VISION; IMAGE SEGMENTATION; SEMANTICS;

BOUNDARY DETECTION SYSTEMS; COLOR AND TEXTURES; LOW-LEVEL FEATURES; MULTIPLE DATA SETS; OBJECT CLASSIFICATION; SEMANTIC SEGMENTATION; STATE-OF-THE-ART METHODS; STATE-OF-THE-ART PERFORMANCE;

FEATURE EXTRACTION;

EID: 84973888826     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2015.65     Document Type: Conference Paper

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