The Importance of Metric Learning for Robotic Vision: Open Set Recognition and Active Learning

27 February 2019

Papers citing "The Importance of Metric Learning for Robotic Vision: Open Set Recognition and Active Learning"

21 / 21 papers shown

Title
Potential Field Based Deep Metric Learning Shubhang Bhatnagar Narendra Ahuja 70 1 0 28 May 2024
OpenGAN: Open Set Generative Adversarial Networks Luke Ditria Benjamin J. Meyer Tom Drummond VLM AI4CE GAN 79 20 0 18 Mar 2020
Metric Learning for Novelty and Anomaly Detection Marc Masana Idoia Ruiz J. Serrat Joost van de Weijer Antonio M. López OODD 54 80 0 16 Aug 2018
Novelty Detection with GAN M. Kliger S. Fleishman 44 57 0 28 Feb 2018
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples Kimin Lee Honglak Lee Kibok Lee Jinwoo Shin OODD 103 880 0 26 Nov 2017
Distance-based Confidence Score for Neural Network Classifiers Amit Mandelbaum D. Weinshall UQCV 43 111 0 28 Sep 2017
Learning how to Active Learn: A Deep Reinforcement Learning Approach Meng Fang Yuan Li Trevor Cohn 39 284 0 08 Aug 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 105 2,054 0 08 Jun 2017
Smart Mining for Deep Metric Learning Ben Harwood B. V. Kumar G. Carneiro Ian Reid Tom Drummond 45 350 0 05 Apr 2017
Generative Adversarial Active Learning Jia Jie Zhu José Bento GAN 40 183 0 25 Feb 2017
Cost-Effective Active Learning for Deep Image Classification Keze Wang Dongyu Zhang Ya Li Ruimao Zhang Liang Lin VLM 77 677 0 13 Jan 2017
Deep Metric Learning via Facility Location Hyun Oh Song Stefanie Jegelka V. Rathod Kevin Patrick Murphy 44 23 0 05 Dec 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 108 3,420 0 07 Oct 2016
Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions B. V. Kumar G. Carneiro Ian Reid SSL 56 310 0 31 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.5K 192,638 0 10 Dec 2015
Deep Metric Learning via Lifted Structured Feature Embedding Hyun Oh Song Yu Xiang Stefanie Jegelka Silvio Savarese FedML SSL DML 84 1,641 0 19 Nov 2015
Towards Open Set Deep Networks Abhijit Bendale Terrance Boult BDL EDL 92 1,412 0 19 Nov 2015
Metric Learning with Adaptive Density Discrimination Oren Rippel Manohar Paluri Piotr Dollar Lubomir D. Bourdev 42 215 0 18 Nov 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 287 13,079 0 12 Mar 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 342 43,511 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.0K 99,991 0 04 Sep 2014