Lost in UNet: Improving Infrared Small Target Detection by Underappreciated Local Features

Documenti analoghi

• Equal is Not Always Fair: A New Perspective on Hyperspectral Representation Non-Uniformity
  di: Quan, Wuzhou, et al.
  Pubblicazione: (2025)
• Perceive, Act and Correct: Confidence Is Not Enough for Hyperspectral Classification
  di: Yang, Muzhou, et al.
  Pubblicazione: (2025)
• AlignFreeNet: Is Cross-Modal Pre-Alignment Necessary? An End-to-End Alignment-Free Lightweight Network for Visible-Infrared Object Detection
  di: Zhu, Dingkun, et al.
  Pubblicazione: (2025)
• FriendNet: Detection-Friendly Dehazing Network
  di: Fan, Yihua, et al.
  Pubblicazione: (2024)
• Seeing Through the Noise: Improving Infrared Small Target Detection and Segmentation from Noise Suppression Perspective
  di: Yuan, Maoxun, et al.
  Pubblicazione: (2025)