WebApr 8, 2024 · Jiang et al. proposed an improved YOLOv5 UAV detection algorithm and tracking method to address the difficulties of poor imaging contrast, complex background and small target scale. The method improved UAV detection probability by adding a detection head and attention module, and achieved high-speed tracking performance by … WebApr 13, 2024 · Target detection in side-scan sonar images plays a significant role in ocean engineering. However, the target images are usually severely interfered by the complex background and strong environmental noise, which makes it difficult to extract robust features from small targets and makes the target detection task quite challenging. In this …
Remote Sensing Free Full-Text A Multi-Frame Superposition Detection …
WebSep 14, 2024 · Interior Attention-Aware Network for Infrared Small Target Detection Official implementation for IEEE Transactions on Geoscience and Remote Sensing (TGRS) paper: "Interior Attention-Aware Network for Infrared Small Target Detection". [Paper] Citation If you find our work useful in your research, please cite our paper WebJan 5, 2024 · Abstract: To mitigate the issue of minimal intrinsic features for pure data-driven methods, in this article, we propose a novel model-driven deep network for infrared small target detection, which combines discriminative networks and conventional model-driven methods to make use of both labeled data and the domain knowledge. By … how fast are safety cars
Dim and small target detection based on their living environment
WebJun 1, 2024 · In the past few decades, many infrared small target detection methods for various scenes have appeared. These methods are mainly divided into two categories: single-frame based detection methods and sequence-based detection methods. The single-frame based detection method usually exploits some well-designed filters to suppress … WebOct 17, 2024 · Such algorithms can effectively detect slow-moving small targets. However, when such targets are in scenes with a low signal-to-noise ratio, the target would be lost in background clutter, making its correlation levels close to background differences, making it difficult to detect the target point. WebDetecting small targets from a first-person view (FPV) camera is challenging. Wang et al. proposed a super-resolution (SR) and CNNbased method to detect small objects [22], but … how fast are results from rapid antigen test