GOSS: Towards Generalized Open-set Semantic Segmentation

GOSS: Towards Generalized Open-set Semantic Segmentation

23 March 2022

Mehrtash Harandi

Papers citing "GOSS: Towards Generalized Open-set Semantic Segmentation"

7 / 7 papers shown

Title
PointCaM: Cut-and-Mix for Open-Set Point Cloud Learning Jie Hong Shi Qiu Weihong Li Saeed Anwar Mehrtash Harandi Nick Barnes L. Petersson 3DPC 26 5 0 05 Dec 2022
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation Yuyuan Liu Choubo Ding Yu Tian Guansong Pang Vasileios Belagiannis Ian Reid G. Carneiro OODD 16 37 0 26 Nov 2022
Segmenting Known Objects and Unseen Unknowns without Prior Knowledge Stefano Gasperini Alvaro Marcos-Ramiro Michael Schmidt Nassir Navab Benjamin Busam F. Tombari 33 8 0 12 Sep 2022
Curved Geometric Networks for Visual Anomaly Recognition Jie Hong Pengfei Fang Weihao Li Junlin Han L. Petersson Mehrtash Harandi 31 6 0 02 Aug 2022
FuSS: Fusing Superpixels for Improved Segmentation Consistency Ian Nunes M. B. Pereira Hugo Oliveira J. A. dos Santos Marcus Poggi de Aragão 17 0 0 06 Jun 2022
Towards Open-Set Object Detection and Discovery Jiyang Zheng Weihao Li Jie Hong L. Petersson Nick Barnes ObjD 25 61 0 12 Apr 2022
SegSort: Segmentation by Discriminative Sorting of Segments Jyh-Jing Hwang Stella X. Yu Jianbo Shi Maxwell D. Collins Tien-Ju Yang Xiao Zhang Liang-Chieh Chen 173 148 0 15 Oct 2019