CC-LOSS: CHANNEL CORRELATION LOSS FOR IMAGE CLASSIFICATION

Computer Science

• Image Classification 100%
• Learned Feature 50%
• Structure Model 50%
• Deep Learning Model 50%
• Information Theory 50%
• Experimental Result 50%
• Classification Problem 50%
• Euclidean Distance 50%
• Distance Matrix 50%

Keyphrases

• Correlation Loss 100%
• Loss Channel 100%
• Channel Attention 40%
• Inter-class Separability 40%
• Feature Distribution 20%
• Intra-class Compactness 20%
• Euclidean Distance Matrix 20%
• Feature Embedding 20%
• Cross-entropy Loss 20%
• Channel Attention Module 20%
• Class Constraints 20%
• Backbone Model 20%
• Attention Vector 20%