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

59 citations · 61 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2023★ 2 cited

Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection

Boyang Li, Yingqian Wang, Longguang Wang +5

Single-frame infrared small target (SIRST) detection aims at separating small targets from clutter backgrounds on infrared images. Recently, deep learning based methods have achiev…

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…