Results 31 to 40 of about 10,716,239 (286)
IR-SAM2: Target Enhancement with SAM2 for Infrared Small Target Detection
Remote SensingFoundation 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
Applied SciencesInfrared 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
CoRRNeurIPS 2025; Evaluation Toolkit: https://github.com/lartpang/PyIRSTDMetrics; Correct a few ...
Youwei Pang +6 more
openaire +3 more sources
Molecular Oncology, EarlyView.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
Sensors, 2023 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
FEBS Open Bio, EarlyView.Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley +1 more source
Small target detection in infrared image using convolutional neural networks
, 2017 Infrared small target detection is an important research topic in the field of infrared image processing and has a major impact on applications in areas such as remote sensing, infrared imaging precise. Due to atmospheric scattering, refraction and the
Qin, Hanlin +12 more
core +1 more source
Infrared small target detection based on an image-patch tensor model
, 2019 Infrared small target detection under complex background has been applied to many fields and is still a challenging problem. In this paper, a small target detection method base on an image-patch tensor (IPT) model is proposed.
Zhang XY(张祥越) +5 more
core +2 more sources
Leveraging language prior for infrared small target detection
NeurocomputingIRSTD (InfraRed Small Target Detection) detects small targets in infrared blurry backgrounds and is essential for various applications. The detection task is challenging due to the small size of the targets and their sparse distribution in infrared small target datasets. Although existing IRSTD methods and datasets have led to significant advancements,
Pranav Singh Chib, Pravendra Singh
openaire +3 more sources
FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source