IRSTD-1k
PulseAugur coverage of IRSTD-1k — every cluster mentioning IRSTD-1k across labs, papers, and developer communities, ranked by signal.
-
New neural networks tackle infrared small target detection with dual-knowledge guidance
Researchers have developed two new neural network architectures, ADGNet and DGNet, for infrared small target detection. ADGNet utilizes an Asymmetric Dual-text Prompt and Asymmetric Dual-Branch Interaction to separately…
-
SPARK-SAM improves infrared small target segmentation using response knowledge
Researchers have developed SPARK-SAM, a novel method to improve the performance of segmentation models like SAM when applied to infrared small target detection. The approach addresses the mismatch between spatial prompt…
-
New AI models tackle cross-domain infrared target detection · 2 sources
Two new research papers propose novel approaches to improve infrared small target detection (IRSTD) across different imaging domains. The first paper, HyTBE, introduces a Hyperbolic Target-Background Expert model that e…
-
Lightweight Mamba Network Excels at Infrared Small Target Detection
Researchers have developed LCMamNet, a novel lightweight network designed for infrared small target detection. This network utilizes a Mamba architecture to progressively enhance local target structures and fuse cross-s…