Feature fusion techniques

1. What is feature fusion method?
2. What is feature fusion in image processing?
3. What is feature fusion in machine learning?
4. Why feature fusion is important?

What is feature fusion method?

Feature fusion, the combination of features from differ- ent layers or branches, is an omnipresent part of modern network architectures. It is often implemented via simple operations, such as summation or concatenation, but this might not be the best choice.

What is feature fusion in image processing?

The feature fusion technique is widely used in many areas, e.g., image processing and classification. Feature fusion attempts to extract the most discriminative information from several input features and eliminate redundant information.

What is feature fusion in machine learning?

Feature fusion helps to learn image features fully for description of their rich internal information, and after dimensionality reduction, we can obtain compact representation of integrated features, thus resulting in lower computational complexity and better performance of face detection with unconstrained environment ...

Why feature fusion is important?

The primary benefit of feature-level fusion is the detection of correlated feature values generated by different biometric algorithms thereby identifying a compact set of salient features that can improve recognition accuracy.