PanoSCU: A Simulation-Based Dataset for Panoramic Indoor Scene Understanding

Panoramic images offer a comprehensive spatial view that is crucial for indoor robotics tasks such as visual room rearrangement, where an agent must restore objects to their original positions or states. Unlike existing 2D scene change understanding datasets, which rely on single-view images, panora...

Popoln opis

Bibliografske podrobnosti

Principais autores:	Mariia Khan, Yue Qiu, Yuren Cong, Jumana Abu-Khalaf, David Suter, Bodo Rosenhahn
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2025-01-01
Serija:	IEEE Access
Teme:	Object segmentation change detection algorithms embodied artificial intelligence image stitching
Online dostop:	https://ieeexplore.ieee.org/document/10965672/
Oznake:	Označite Brez oznak, prvi označite!