To mitigate the issue of minimal intrinsic features for pure data-driven...
Single-frame infrared small target detection remains a challenge not onl...
Feature fusion, the combination of features from different layers or
bra...
Activation functions and attention mechanisms are typically treated as h...
Many state-of-the-art methods have been proposed for infrared small targ...
The problem of fitting a union of subspaces to a collection of data poin...
Subspace clustering refers to the problem of segmenting a set of data po...