Completed
Saliency Fusion
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
From Saliency to Camouflage Analysis in Computer Vision
Automatically move to the next video in the Classroom when playback concludes
- 1 Intro
- 2 Outline
- 3 Overview
- 4 The advancement of Artificial Intelligence
- 5 How about Computer Vision?
- 6 What can we do?
- 7 Visual Saliency: what is it?
- 8 FCN is coming out
- 9 FCN-based salient object detection methods
- 10 What can we do to detect salient object?
- 11 Stimulus revisit
- 12 Motivation
- 13 Proposed framework
- 14 Semantic Extraction
- 15 Explicit Saliency Map
- 16 Implicit Saliency Map
- 17 Saliency Fusion
- 18 Why do we need two maps?
- 19 Evaluation on HKUIS Dataset
- 20 Applications of Saliency Analysis
- 21 What's next?
- 22 We are talking about camouflaged objects
- 23 Why do we need camouflaged object segmentation?
- 24 Salient Objects vs. Camouflaged Objects
- 25 Why is salient object segmentation feasible?
- 26 What are the problems in camouflage analysis?
- 27 Related Work
- 28 Segmentation Branch
- 29 Classification Branch
- 30 Evaluation Metrics
- 31 Experimental Results
- 32 Current Research Directions
- 33 Future Plan
- 34 Potential Funding Agencies
- 35 Collaborators
- 36 Thank you very much for your attention!
