USAM-Net: A U-Net-based Network for Improved Stereo Correspondence and Scene Depth Estimation using Features from a Pre-trained Image Segmentation network

Documenti analoghi

• Reinforcement Learning Environment with LLM-Controlled Adversary in D&D 5th Edition Combat
  di: Dayo, Joseph Emmanuel DL, et al.
  Pubblicazione: (2025)
• StereoAdapter: Adapting Stereo Depth Estimation to Underwater Scenes
  di: Wu, Zhengri, et al.
  Pubblicazione: (2025)
• SpikeStereoNet: A Brain-Inspired Framework for Stereo Depth Estimation from Spike Streams
  di: Gao, Zhuoheng, et al.
  Pubblicazione: (2025)
• SurgeoNet: Realtime 3D Pose Estimation of Articulated Surgical Instruments from Stereo Images using a Synthetically-trained Network
  di: Aboukhadra, Ahmed Tawfik, et al.
  Pubblicazione: (2024)
• Multi-Label Stereo Matching for Transparent Scene Depth Estimation
  di: Liu, Zhidan, et al.
  Pubblicazione: (2025)