Deep Metric Learning for Open World Semantic Segmentation

10 August 2021

Jun Cen

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

29 / 29 papers shown

Title
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes Yuanpeng Tu Yuxi Li Boshen Zhang Liang Liu Jing Zhang Yun Wang C. Zhao 237 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 Wang LRM 93 14 0 17 Oct 2024
Potential Field Based Deep Metric Learning Shubhang Bhatnagar Narendra Ahuja 86 1 0 28 May 2024
Towards Open World Object Detection K. J. Joseph Salman Khan Fahad Shahbaz Khan V. Balasubramanian ObjD 85 462 0 03 Mar 2021
Learning Open Set Network with Discriminative Reciprocal Points Guangyao Chen Limeng Qiao Yemin Shi Peixi Peng Jia Li Tiejun Huang Shiliang Pu Yonghong Tian UQCV EDL 45 195 0 31 Oct 2020
Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation Yingda Xia Yi Zhang Fengze Liu Wei Shen Alan Yuille UQCV 78 153 0 18 Mar 2020
Incremental Few-Shot Object Detection Juan-Manuel Perez-Rua Xiatian Zhu Timothy M. Hospedales Tao Xiang ObjD CLL 57 218 0 10 Mar 2020
Scaling Out-of-Distribution Detection for Real-World Settings Dan Hendrycks Steven Basart Mantas Mazeika Andy Zou Joe Kwon Mohammadreza Mostajabi Jacob Steinhardt Basel Alomair OODD 180 481 0 25 Nov 2019
Detecting the Unexpected via Image Resynthesis Krzysztof Lis Krishna Kanth Nakka Pascal Fua Mathieu Salzmann UQCV 52 178 0 16 Apr 2019
TADAM: Task dependent adaptive metric for improved few-shot learning Boris N. Oreshkin Pau Rodríguez López Alexandre Lacoste 96 1,313 0 23 May 2018
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training S. Akçay Amir Atapour-Abarghouei T. Breckon GAN 78 1,396 0 17 May 2018
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning Feng Yu Haofeng Chen Xin Wang Wenqi Xian Yingying Chen Fangchen Liu Vashisht Madhavan Trevor Darrell VLM 341 2,150 0 12 May 2018
Robust Classification with Convolutional Prototype Learning Hong-Ming Yang Xu-Yao Zhang Fei Yin Cheng-Lin Liu 63 342 0 09 May 2018
Dynamic Few-Shot Visual Learning without Forgetting Spyros Gidaris N. Komodakis VLM 59 1,130 0 25 Apr 2018
Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images Christoph Baur Benedikt Wiestler Shadi Albarqouni Nassir Navab UQCV MedIm 55 442 0 12 Apr 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam SSeg 453 13,143 0 07 Feb 2018
Low-Shot Learning from Imaginary Data Yu-Xiong Wang Ross B. Girshick M. Hebert Bharath Hariharan VLM 101 677 0 16 Jan 2018
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art J. Janai Fatma Guney Aseem Behl Andreas Geiger 116 795 0 18 Apr 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 303 8,145 0 15 Mar 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 359 4,709 0 15 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 840 5,840 0 05 Dec 2016
Pyramid Scene Parsing Network Hengshuang Zhao Jianping Shi Xiaojuan Qi Xiaogang Wang Jiaya Jia VOS SSeg 665 12,015 0 04 Dec 2016
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 154 3,761 0 23 Nov 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 166 3,468 0 07 Oct 2016
Lost and Found: Detecting Small Road Hazards for Self-Driving Vehicles Peter Pinggera Sebastian Ramos S. Gehrig Uwe Franke Carsten Rother Rudolf Mester UQCV 55 192 0 15 Sep 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 1.1K 11,623 0 06 Apr 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 829 9,345 0 06 Jun 2015
Towards Open World Recognition Abhijit Bendale Terrance Boult 76 566 0 18 Dec 2014