Results 21 to 30 of about 88,893 (259)
Using Double-Layer Patch-Based Contrast for Infrared Small Target Detection
Detecting infrared (IR) small targets effectively and robustly is crucial for the tasks such as infrared searching and guarding. While methods based on the human vision system (HVS) have achieved great success in this field, detecting dim targets in ...
Liping Liu +4 more
doaj +1 more source
Infrared Small Target Detection via Modified Random Walks
Infrared small target detection under intricate background and heavy noise is one of the crucial tasks in the field of remote sensing. Conventional algorithms can fail in detecting small targets due to the low signal-to-noise ratios of the images.
Chaoqun Xia, Xiaorun Li, Liaoying Zhao
doaj +1 more source
Spaceborne infrared small-target detection plays a critical role in space-sky early warning, disaster rescue, and reconnaissance tracking, benefiting from all-time, all-weather, and wide-area monitoring capabilities.
Xiaoying Wu +4 more
doaj +1 more source
IR-SAM2: Target Enhancement with SAM2 for Infrared Small Target Detection
Foundation models such as the Segment Anything Model (SAM) have substantially advanced promptable object segmentation in remote sensing. However, extending these capabilities to infrared small target detection (IRSTD) remains highly challenging in the ...
Zongduo Hao +5 more
doaj +1 more source
A Multi-Task Framework for Infrared Small Target Detection and Segmentation
Due to the complicated background and noise of infrared images, infrared small target detection is one of the most difficult problems in the field of computer vision. In most existing studies, semantic segmentation methods are typically used to achieve better results.
Chen, Yuhang +4 more
openaire +3 more sources
Target Driven Adaptive Loss for Infrared Small Target Detection
We propose a target driven adaptive (TDA) loss to enhance the performance of infrared small target detection (IRSTD). Prior works have used loss functions, such as binary cross-entropy loss and IoU loss, to train segmentation models for IRSTD. Minimizing these loss functions guides models to extract pixel-level features or global image context. However,
Yuho Shoji +2 more
openaire +3 more sources
Infrared small target detection is a key technology with a wide range of applications, and the complex background and low signal-to-noise ratio characteristics of infrared images can greatly increase the difficulty and error rate of small target ...
Xiaoqing Wang +9 more
doaj +1 more source
Rethinking Evaluation of Infrared Small Target Detection
NeurIPS 2025; Evaluation Toolkit: https://github.com/lartpang/PyIRSTDMetrics; Correct a few ...
Youwei Pang +6 more
openaire +3 more sources
This study identifies ARHGAP5, in addition to the frequently mutated ARHGAP35, as significantly mutated in endometrial cancer. Mutations in both genes co‐occur and are associated with their correlated downregulation. Functional CRISPR studies show that both paralogs regulate similar pathways, including actin cytoskeleton organization.
Mathilde Pinault +12 more
wiley +1 more source
IRSDT: A Framework for Infrared Small Target Tracking with Enhanced Detection
Currently, infrared small target detection and tracking under complex backgrounds remains challenging because of the low resolution of infrared images and the lack of shape and texture features in these small targets.
Jun Fan +4 more
doaj +1 more source

