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Deep interactive object selection
Ning Xu
, Brian Price
, Scott Cohen
, Jimei Yang
, Thomas Huang
Coordinated Science Lab
Research output
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Chapter in Book/Report/Conference proceeding
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Conference contribution
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Dive into the research topics of 'Deep interactive object selection'. Together they form a unique fingerprint.
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Keyphrases
User Interaction
100%
Object Selection
100%
Interactive Objects
100%
Sampling Strategy
33%
Concatenated
33%
Selection Strategy
33%
Modeller
33%
Object Class
33%
Deep Learning
33%
Segmentation Dataset
33%
Probability Map
33%
Background Distribution
33%
Generalization Ability
33%
Fully Convolutional Network
33%
Deep Convolutional Network
33%
Objectness
33%
Graph Cuts Optimization
33%
Euclidean Distance Map
33%
Interaction Pairs
33%
RGB Channels
33%
User Click
33%
Unseen Objects
33%
PASCAL
33%
Computer Science
User Interaction
100%
Object Selection
100%
Interactivity
100%
Fully Convolutional Network
66%
Experimental Result
33%
Research Problem
33%
Graph Cut
33%
Transform Algorithm
33%
Euclidean Distance
33%
Output Probability
33%
Probability Map
33%
Boundary Segment
33%
Generalization Ability
33%
Deep Learning Method
33%