#detection

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Published on
June 3, 2026
Sourceless Object Detection with Transformer detection
detection feature object sfod reweighting domain contrastive learning
Total: 1 Source-Free Object Detection (SFOD) enables the transfer of knowledge from a source domain to an unsupervised target domain for object detection without access to the source data. Most...
Published on
June 3, 2026
Phishing Web Page Detection: Unveiling the Threat Landscape and Investigating Detection Techniques
detection fishing methods research techniques webbased testing existing
Total: 1 In the area of cybersecurity, fishing is a widespread cyberattack, where the attackers use a variety of tactics to deceive users to collect their sensitive information, which may lead to...
Published on
June 3, 2026
Quantum - enhanced change detection and joint communication - detection
recognition change communication latency quantum detection show predivided
Total: 1 The rapid recognition of transmission changes in the optical channel is crucial for secure communication. We show that the pre-divided interlocking using two-mode-squeeze vacuum states...
Published on
June 3, 2026
Only neural検出 detection is required for 音声 voice detection
detection research neural article approaches future
Total: 1 This article reviews the current status and emerging trends in synthetic speech detection. It presents key data-driven approaches, discusses the advantages and disadvantages of focusing...
Published on
June 3, 2026
Beyond intra-domain detection: SpikeScore for cross-domain hallucination detection.
detection multiple hallucinogenic rounds score approaches beyond hallucination
Total: 1 For the deployment of large language models in realistic applicationsLLMIt is essential. When training and testing data are from the same domain, existing hallucinogenic detection methods...
Published on
June 3, 2026
Unsupervised surrogate anomaly detection
anomaly detection surrogate unsupervised algorithm dean
Total: 1 In this paper, we study an unsupervised anomaly detection algorithm that learns neural network representations, that is, anomalies deviate from regular patterns of normal data. Inspired by...
Published on
June 3, 2026
Spectrum detection from out of distribution: a geometric view
detection language hallucination tasks largescale models important problem
Total: 1 Detecting hallucinations in large-scale language models is an important open problem with important implications for safety and reliability. Existing hallucination detection methods perform...
Published on
June 3, 2026
CSDN: Context-based self-adaptive detection network for real-time object detection.
detection csdn object recognition head different network global
Total: 1 Convolutional Neural Networks (CNNs) have long been the cornerstones of target recognition, but are often restricted by limited reception fields, which affects their ability to capture...
Published on
June 3, 2026
Q-Detection: A Hybrid Quantum-Classical Poisoning Attack Detection Method
qdetection data poisoning attacks quantum detection computing hybrid
Total: 1 Data poisoning attacks pose a serious threat to machine learning models by introducing malicious data into the learning process, degrading model performance or manipulating predictions....
Published on
June 3, 2026
Comparison of detection performance between intensity detection and segmentation detection in Rydberg-atomic sensors.
detection reading testing signal programmes maximum estimation proposed
Total: 1 However, their unique physical characteristics make two basic signal reading programmes possible: intensity-based and decomposition-based testing. The former measured the electric field by...
Published on
June 3, 2026
For real-world rumor detection: Anomaly detection framework using graph teacher control learning
detection data rumours learning realworld anomaly anecdotal number
Total: 1 Anecdotal detection methods, based on learning about communication structures, are being used primarily as a classification task for limited label data. However, social media data from the...
Published on
June 3, 2026
Non-registered change detection: a novel change detection task and baseline data Set
change detection task propose registrationfree nonlogging scenarios available
Total: 1 In this study, we propose a new remote sensing change detection task, registration-free change detection, to respond to the increasing number of emergencies such as natural disasters,...
Published on
June 3, 2026
Irregularly manufactured cheat chips interfered with car tail gas testing, causing a large number of over-standard vehicles to cross the law.
vehicle environment public security detection chips tail organs
According to information from IT House on 3 June, on the occasion of World Environment Day (5 June of each year), the Ministry of Public Security published today four typical cases of pollution of...
Published on
June 3, 2026
AndroidIt is possible to verify whether the caller is actually calling from the phone app based on RCS, which adds the phone detection function.
phone google detection android whether calls call caller
AndroidIt is possible to verify whether the caller is actually calling from the phone app based on RCS, which adds the phone detection function. In order to confront scam calls to become a person who...