Shu-Ping Huang

Deep Learning for Single-Frame Infrared Small and Dim Target Detection: A Paradigm-Oriented Review with Cross-Architecture Benchmarking

This study reveals cross-paradigm patterns, suggesting that within the settings and datasets examined, the primary performance bottleneck appears to have shifted from architectural complexity to the preservation of spatial information during the encoding stage and the learning of semantic discriminative representations...