activity
20232026
most citedYou Only Train Once: Learning a General Anomaly Enhancement Network with Random Masks for Hyperspectral Anomaly Detection

59 citations · 85 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Towards UAV Detection in the Real World: A New Multispectral Dataset UAVNet-MS and a New Method

Yihang Luo, Jun Chen, Chao Xiao +13

The proliferation of unmanned aerial vehicles (UAVs) has created urgent demand for precise UAV monitoring. Existing RGB-based systems rely on spatial cues that degrade at small sca…

cs.CV2024

Visible-Thermal Tiny Object Detection: A Benchmark Dataset and Baselines

Xinyi Ying, Chao Xiao, Ruojing Li +13

Small object detection (SOD) has been a longstanding yet challenging task for decades, with numerous datasets and algorithms being developed. However, they mainly focus on either v…

cs.CV2024★ 25 cited

SpecDETR: A transformer-based hyperspectral point object detection network

Zhaoxu Li, Wei An, Gaowei Guo +3

Hyperspectral target detection (HTD) aims to identify specific materials based on spectral information in hyperspectral imagery and can detect extremely small-sized objects, some o…

eess.IV2023★ 59 cited

You Only Train Once: Learning a General Anomaly Enhancement Network with Random Masks for Hyperspectral Anomaly Detection

Zhaoxu Li, Yingqian Wang, Chao Xiao +3

In this paper, we introduce a new approach to address the challenge of generalization in hyperspectral anomaly detection (AD). Our method eliminates the need for adjusting paramete…

cs.CV2023★ 1 cited

Flexible-modal Deception Detection with Audio-Visual Adapter

Zhaoxu Li, Zitong Yu, Nithish Muthuchamy Selvaraj +4

Detecting deception by human behaviors is vital in many fields such as custom security and multimedia anti-fraud. Recently, audio-visual deception detection attracts more attention…