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

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

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…