Going From RGB to RGBD Saliency : A Depth-Guided Transformation Model

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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Computer Science

100
Model Computer Science
100
Transformation Mode... Computer Science
80
Saliency Detection Computer Science
20
Performance Improve... Computer Science
20
Initialization Computer Science
20
Energy Function Computer Science
20
Benchmark Computer Science
20
Domain Knowledge Computer Science
20
Background Region Computer Science
20
Depth Information Computer Science
20
Geodesics Computer Science
20
Procedure Computer Science

Keyphrases

100
Saliency Keyphrases
100
Transformation Mode... Keyphrases
100
Depth-guided Keyphrases
22
Saliency Detection Keyphrases
22
RGB-D Saliency Dete... Keyphrases
22
Saliency Refinement Keyphrases
11
Performance Improve... Keyphrases
11
Energy Function Keyphrases
11
Initialize Keyphrases
11
Transferability Keyphrases
11
Background Region Keyphrases
11
Optimization Model Keyphrases
11
Depth Map Keyphrases
11
Geodesics Keyphrases
11
Detection Model Keyphrases
11
Depth Information Keyphrases
11
Salient Object Keyphrases
11
Saliency Model Keyphrases
11
Depth Domain Keyphrases
11
Depth Feature Keyphrases
11
Saliency Optimizati... Keyphrases
11
Unary Keyphrases
11
Global Compactness Keyphrases
11
Depth Consistency Keyphrases
11
Depth Constraint Keyphrases

INIS

100
transformations INIS
100
depth INIS
33
detection INIS
16
optimization INIS
8
shape INIS
8
information INIS
8
performance INIS
8
energy INIS
8
constraints INIS
8
data INIS
8
color INIS
8
maps INIS
8
benchmarks INIS
8
geodesics INIS
Research OutputsResearch Output authored by Going From RGB to RGBD Saliency is tagged with the concept