Improving Panoptic Segmentation at All Scales

Improving Panoptic Segmentation at All Scales

14 December 2020

Lorenzo Porzi

Samuel Rota Buló

Peter Kontschieder

Papers citing "Improving Panoptic Segmentation at All Scales"

7 / 7 papers shown

Title
PhenoBench -- A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain J. Weyler Federico Magistri E. Marks Yue Linn Chong Matteo Sodano Gianmarco Roggiolani Nived Chebrolu C. Stachniss Jens Behley 37 30 0 07 Jun 2023
Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images Daan de Geus Gijs Dubbelman SSeg 26 6 0 17 Apr 2023
SUNet: Scale-aware Unified Network for Panoptic Segmentation Wei Yan Yeqiang Qian Chunxiang Wang Ming Yang SSeg 21 0 0 07 Sep 2022
BuyTheDips: PathLoss for improved topology-preserving deep learning-based image segmentation Minh On Vu Ngoc Yizi Chen Nicolas Boutry Jonathan Fabrizio Clement Mallet 34 1 0 23 Jul 2022
MGNet: Monocular Geometric Scene Understanding for Autonomous Driving Markus Schön M. Buchholz Klaus C. J. Dietmayer 3DPC 3DGS 35 42 0 27 Jun 2022
AutoRF: Learning 3D Object Radiance Fields from Single View Observations Norman Muller Andrea Simonelli Lorenzo Porzi Samuel Rota Buló Matthias Nießner Peter Kontschieder 44 68 0 07 Apr 2022
Panoptic Segmentation: A Review O. Elharrouss S. Al-Maadeed Nandhini Subramanian Najmath Ottakath Noor Almaadeed Yassine Himeur 28 38 0 19 Nov 2021