Open-World Semantic Segmentation Including Class Similarity

Open-World Semantic Segmentation Including Class Similarity

12 March 2024

Federico Magistri

Papers citing "Open-World Semantic Segmentation Including Class Similarity"

13 / 13 papers shown

Title
Open-set Anomaly Segmentation in Complex Scenarios Song Xia Yi Yu Henghui Ding Wenhan Yang S. Liu Alex C. Kot Xudong Jiang DiffM 50 0 0 28 Apr 2025
PraNet-V2: Dual-Supervised Reverse Attention for Medical Image Segmentation Bo-Cheng Hu Ge-Peng Ji Dian Shao Deng-Ping Fan 25 0 0 15 Apr 2025
Prior2Former -- Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation Sebastian Schmidt Julius Körner Dominik Fuchsgruber Stefano Gasperini F. Tombari Stephan Günnemann 26 0 0 07 Apr 2025
A Novel Decomposed Feature-Oriented Framework for Open-Set Semantic Segmentation on LiDAR Data Wenbang Deng Xieyuanli Chen Qinghua Yu Yunze He Junhao Xiao Huimin Lu 41 0 0 14 Mar 2025
Multi-Scale Foreground-Background Confidence for Out-of-Distribution Segmentation Samuel Marschall Kira Maag 80 1 0 22 Dec 2024
Open-World Panoptic Segmentation Matteo Sodano Federico Magistri Jens Behley Cyrill Stachniss VLM 71 0 0 17 Dec 2024
OW-Rep: Open World Object Detection with Instance Representation Learning Sunoh Lee Minsik Jeon Jihong Min Junwon Seo ObjD 130 0 0 24 Sep 2024
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation Jongheon Jeong Yang Zou Taewan Kim Dongqing Zhang Avinash Ravichandran O. Dabeer VLM 67 186 0 26 Mar 2023
Pixel-wise Gradient Uncertainty for Convolutional Neural Networks applied to Out-of-Distribution Segmentation Kira Maag Tobias Riedlinger UQCV 30 7 0 13 Mar 2023
Robust Double-Encoder Network for RGB-D Panoptic Segmentation Matteo Sodano Federico Magistri Tiziano Guadagnino Jens Behley C. Stachniss 29 11 0 06 Oct 2022
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 167 404 0 12 Oct 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 261 9,134 0 06 Jun 2015