Deep Metric Learning for Open World Semantic Segmentation

Deep Metric Learning for Open World Semantic Segmentation

10 August 2021

Jun Cen

Papers citing "Deep Metric Learning for Open World Semantic Segmentation"

15 / 15 papers shown

Title
Panoramic Out-of-Distribution Segmentation Mengfei Duan Kailun Yang Yanmei Zhang Yihong Cao Fei Teng Kai Luo Jiaming Zhang Zhiyong Li Shutao Li 59 0 0 06 May 2025
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes Yuanpeng Tu Yuxi Li Boshen Zhang Liang Liu Jiaxing Zhang Yishuo Wang C. Zhao 61 3 0 03 Jan 2025
Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation Yiming Wang Pei Zhang Baosong Yang Derek F. Wong Rui-cang Wang LRM 56 5 0 17 Oct 2024
Potential Field Based Deep Metric Learning Shubhang Bhatnagar Narendra Ahuja 51 1 0 28 May 2024
Mask2Anomaly: Mask Transformer for Universal Open-set Segmentation Shyam Nandan Rai Fabio Cermelli Barbara Caputo Carlo Masone ISeg ViT 33 5 0 08 Sep 2023
Multiscale Memory Comparator Transformer for Few-Shot Video Segmentation Mennatullah Siam R. Karim Henghui Zhao Richard P. Wildes VOS 38 2 0 15 Jul 2023
Maskomaly:Zero-Shot Mask Anomaly Segmentation J. Ackermann Daniel Gehrig Feng Yu ISeg 38 23 0 26 May 2023
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 41 6 0 05 Dec 2022
Probing Contextual Diversity for Dense Out-of-Distribution Detection Silvio Galesso M. A. Bravo Mehdi Naouar Thomas Brox 21 4 0 30 Aug 2022
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition Matej Grcić Petra Bevandić Sinivsa vSegvić 32 54 0 06 Jul 2022
GOSS: Towards Generalized Open-set Semantic Segmentation Jie Hong Weihong Li Junlin Han Jiyang Zheng Pengfei Fang Mehrtash Harandi L. Petersson VLM 32 19 0 23 Mar 2022
OpenTAL: Towards Open Set Temporal Action Localization Wentao Bao Qi Yu Yu Kong EDL 37 26 0 10 Mar 2022
Learning to Detect Every Thing in an Open World Kuniaki Saito Ping Hu Trevor Darrell Kate Saenko ObjD VLM 19 45 0 03 Dec 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,683 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015