Open-World Semantic Segmentation Including Class Similarity

12 March 2024

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

8 / 8 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
OW-Rep: Open World Object Detection with Instance Representation Learning Sunoh Lee Minsik Jeon Jihong Min Junwon Seo ObjD 57 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 67 184 0 26 Mar 2023
Pixel-wise Gradient Uncertainty for Convolutional Neural Networks applied to Out-of-Distribution Segmentation Kira Maag Tobias Riedlinger UQCV 22 7 0 13 Mar 2023
Robust Double-Encoder Network for RGB-D Panoptic Segmentation Matteo Sodano Federico Magistri Tiziano Guadagnino Jens Behley C. Stachniss 24 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 158 401 0 12 Oct 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015