ImageSpirit
Humans describe images in terms of nouns and adjectives while algorithms operate on images represented as sets of pixels. Bridging this gap between how humans would like to access images versus their typical representation is the goal of image parsing, which involves assigning object and attribute l...
Main Authors: | Cheng, M-M, Zheng, S, Lin, W-Y, Vineet, V, Sturgess, P, Crook, N, Mitra, NJ, Torr, P |
---|---|
Format: | Journal article |
Sprog: | English |
Udgivet: |
Association for Computing Machinery
2014
|
Lignende værker
-
Scalable cascade inference for semantic image segmentation
af: Sturgess, P, et al.
Udgivet: (2012) -
Dense semantic image segmentation with objects and attributes
af: Zheng, S, et al.
Udgivet: (2014) -
Improved initialization and Gaussian mixture pairwise terms for dense random fields with mean-field inference
af: Vineet, V, et al.
Udgivet: (2012) -
Efficient discriminative learning of parametric nearest neighbor classifiers
af: Zhang, Z, et al.
Udgivet: (2012) -
Approximate structured output learning for Constrained Local Models with application to real-time facial feature detection and tracking on low-power devices
af: Zheng, S, et al.
Udgivet: (2013)