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Knowledge Distillation for Incremental Learning in Semantic Segmentation

8 November 2019

Papers citing "Knowledge Distillation for Incremental Learning in Semantic Segmentation"

40 / 40 papers shown

Title
Achieving Upper Bound Accuracy of Joint Training in Continual Learning Saleh Momeni Bing Liu CLL 152 1 0 17 Feb 2025
Heterogeneous Knowledge Distillation using Information Flow Modeling Nikolaos Passalis Maria Tzelepi Anastasios Tefas 61 139 0 02 May 2020
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation Umberto Michieli Matteo Biasetton Gianluca Agresti Pietro Zanuttigh GAN 52 58 0 02 Sep 2019
Online Continual Learning with Maximally Interfered Retrieval Rahaf Aljundi Lucas Caccia Eugene Belilovsky Massimo Caccia Min Lin Laurent Charlin Tinne Tuytelaars CLL 76 542 0 11 Aug 2019
Incremental Learning Techniques for Semantic Segmentation Umberto Michieli Pietro Zanuttigh SSeg CLL VLM 92 234 0 31 Jul 2019
Similarity-Preserving Knowledge Distillation Frederick Tung Greg Mori 120 978 0 23 Jul 2019
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges Timothée Lesort Vincenzo Lomonaco Andrei Stoian Davide Maltoni David Filliat Natalia Díaz Rodríguez CLL 73 249 0 29 Jun 2019
Large Scale Incremental Learning Yue Wu Yinpeng Chen Lijuan Wang Yuancheng Ye Zicheng Liu Yandong Guo Y. Fu CLL 98 1,257 0 30 May 2019
Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks Xiaoliang Dai Hongxu Yin N. Jha 71 31 0 27 May 2019
Learning Metrics from Teachers: Compact Networks for Image Embedding Lu Yu V. O. Yazici Xialei Liu Joost van de Weijer Yongmei Cheng Arnau Ramisa 55 108 0 07 Apr 2019
M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning Peng Zhou Long Mai Jianming Zhang N. Xu Zuxuan Wu L. Davis CLL VLM 60 55 0 03 Apr 2019
RILOD: Near Real-Time Incremental Learning for Object Detection at the Edge Dawei Li Serafettin Tasci Shalini Ghosh Jingwen Zhu Junting Zhang Larry Heck ObjD 37 9 0 26 Mar 2019
Class-incremental Learning via Deep Model Consolidation Junting Zhang Jie Zhang Shalini Ghosh Dawei Li Serafettin Tasci Larry Heck Heming Zhang C.-C. Jay Kuo CLL 64 338 0 19 Mar 2019
Learning without Memorizing Prithviraj Dhar Rajat Vikram Singh Kuan-Chuan Peng Ziyan Wu Rama Chellappa CLL 85 486 0 20 Nov 2018
Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data O. Tasar Y. Tarabalka Pierre Alliez CLL 97 127 0 29 Oct 2018
End-to-End Incremental Learning F. M. Castro M. Marín-Jiménez Nicolás Guil Mata Cordelia Schmid Alahari Karteek CLL 87 1,158 0 25 Jul 2018
Incremental Training of Deep Convolutional Neural Networks R. Istrate A. Malossi C. Bekas Dimitrios S. Nikolopoulos CLL 51 21 0 27 Mar 2018
Continual Lifelong Learning with Neural Networks: A Review G. I. Parisi Ronald Kemker Jose L. Part Christopher Kanan S. Wermter KELM CLL 190 2,888 0 21 Feb 2018
Tree-CNN: A Hierarchical Deep Convolutional Neural Network for Incremental Learning Deboleena Roy Priyadarshini Panda Kaushik Roy BDL OOD CLL 73 213 0 15 Feb 2018
Incremental Classifier Learning with Generative Adversarial Networks Yue Wu Yinpeng Chen Lijuan Wang Yuancheng Ye Zicheng Liu Yandong Guo Zhengyou Zhang Y. Fu GAN 117 109 0 02 Feb 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence Arslan Chaudhry P. Dokania Thalaiyasingam Ajanthan Philip Torr CLL 102 1,141 0 30 Jan 2018
Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing Syed Shakib Sarwar Aayush Ankit Kaushik Roy CLL 62 109 0 07 Dec 2017
Memory Aware Synapses: Learning what (not) to forget Rahaf Aljundi F. Babiloni Mohamed Elhoseiny Marcus Rohrbach Tinne Tuytelaars KELM CLL 87 1,636 0 27 Nov 2017
Incremental Learning of Object Detectors without Catastrophic Forgetting K. Shmelkov Cordelia Schmid Alahari Karteek ObjD 76 520 0 23 Aug 2017
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 127 2,714 0 26 Jun 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,833 0 14 Jun 2017
Dilated Residual Networks Feng Yu V. Koltun Thomas Funkhouser MedIm 121 1,619 0 28 May 2017
Continual Learning with Deep Generative Replay Hanul Shin Jung Kwon Lee Jaehong Kim Jiwon Kim KELM CLL 80 2,077 0 24 May 2017
A Review on Deep Learning Techniques Applied to Semantic Segmentation Alberto Garcia-Garcia Sergio Orts Sergiu Oprea Victor Villena-Martinez Jose Garcia-Rodriguez 3DV SSeg 112 1,278 0 22 Apr 2017
Pyramid Scene Parsing Network Hengshuang Zhao Jianping Shi Xiaojuan Qi Xiaogang Wang Jiaya Jia VOS SSeg 665 12,015 0 04 Dec 2016
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 369 7,518 0 02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 148 3,761 0 23 Nov 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 298 4,408 0 29 Jun 2016
Active Long Term Memory Networks Tommaso Furlanello Jiaping Zhao Andrew M. Saxe Laurent Itti B. Tjan KELM CLL 68 41 0 07 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 251 18,240 0 02 Jun 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 433 18,361 0 27 May 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 741 37,862 0 20 May 2016
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 362 19,660 0 09 Mar 2015
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 413 43,667 0 01 May 2014
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks Ian Goodfellow M. Berk Mirza Xia Da Aaron Courville Yoshua Bengio 149 1,449 0 21 Dec 2013