Counterfactual context-aware texture learning for camouflaged object detection

Abstract

A counterfactual context-aware texture learning network system, including: a camera configured to capture an input image; a processor configured to perform camouflaged object detection on the input image; and a memory configured to store a texture-aware refinement module (TRM), a context-aware fused module (CFM), and a counterfactual intervention module (CIM); wherein the processor is configured to execute program instructions of the TRM, the CFM, and the CIM; the TRM is configured to extract dimension features from the input image; the CFM is configured to infuse multi-scale contextual features; the CIM is configured to identify a camouflaged object with counterfactual intervention via the processor; the TRM includes: a receptive field block (RFB) configured to expand a receptive field and extract texture features; and a position attention module (PAM) and a channel attention module (CAM) configured to further refine texture-aware features and obtain discriminant feature representation.