Learning at a Glance: Towards Interpretable Data-limited Continual Semantic Segmentation via Semantic-Invariance Modelling

22 July 2024

Papers citing "Learning at a Glance: Towards Interpretable Data-limited Continual Semantic Segmentation via Semantic-Invariance Modelling"

36 / 36 papers shown

Title
Inherit with Distillation and Evolve with Contrast: Exploring Class Incremental Semantic Segmentation Without Exemplar Memory Danpei Zhao Bo Yuan Z. Shi VLM CLL 49 9 0 27 Sep 2023
Birds of A Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation Bo Yuan Danpei Zhao Shuai Shao Zehuan Yuan Changhu Wang 84 15 0 05 Apr 2022
Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation Guanglei Yang Enrico Fini Dan Xu Paolo Rota Mingli Ding Moin Nabi Xavier Alameda-Pineda Elisa Ricci CLL 47 65 0 26 Mar 2022
Decoupled Contrastive Learning Chun-Hsiao Yeh Cheng-Yao Hong Yen-Chi Hsu Tyng-Luh Liu Yubei Chen Yann LeCun 220 189 0 13 Oct 2021
RECALL: Replay-based Continual Learning in Semantic Segmentation Andrea Maracani Umberto Michieli Marco Toldo Pietro Zanuttigh VLM CLL 79 114 0 08 Aug 2021
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning James Smith Yen-Chang Hsu John C. Balloch Yilin Shen Hongxia Jin Z. Kira CLL 93 167 0 17 Jun 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 439 21,392 0 25 Mar 2021
Efficient Feature Transformations for Discriminative and Generative Continual Learning Vinay Kumar Verma Kevin J. Liang Nikhil Mehta Piyush Rai Lawrence Carin CLL 85 78 0 25 Mar 2021
Distilling Causal Effect of Data in Class-Incremental Learning Xinting Hu Kaihua Tang Chunyan Miao Xiansheng Hua Hanwang Zhang CML 228 176 0 02 Mar 2021
Continual Lifelong Learning in Natural Language Processing: A Survey Magdalena Biesialska Katarzyna Biesialska Marta R. Costa-jussá KELM CLL 79 219 0 17 Dec 2020
StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation Zongze Wu Dani Lischinski Eli Shechtman DRL 88 483 0 25 Nov 2020
PLOP: Learning without Forgetting for Continual Semantic Segmentation Arthur Douillard Yifu Chen Arnaud Dapogny Matthieu Cord CLL 44 240 0 23 Nov 2020
Adaptive Aggregation Networks for Class-Incremental Learning Yaoyao Liu Bernt Schiele Qianru Sun CLL 92 219 0 10 Oct 2020
Efficient Meta Lifelong-Learning with Limited Memory Zirui Wang Sanket Vaibhav Mehta Barnabás Póczós J. Carbonell CLL KELM 62 76 0 06 Oct 2020
Online Continual Learning under Extreme Memory Constraints Enrico Fini Stéphane Lathuilière E. Sangineto Moin Nabi Elisa Ricci CLL 57 65 0 04 Aug 2020
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels Marvin Klingner Andreas Bär Philipp Donn Tim Fingscheidt CLL 121 45 0 12 May 2020
Disentangled Image Generation Through Structured Noise Injection Yazeed Alharbi Peter Wonka 60 71 0 26 Apr 2020
Progressive Domain-Independent Feature Decomposition Network for Zero-Shot Sketch-Based Image Retrieval Xinxu Xu Cheng Deng Muli Yang Hao Wang 62 34 0 22 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 353 18,739 0 13 Feb 2020
Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods Dylan Slack Sophie Hilgard Emily Jia Sameer Singh Himabindu Lakkaraju FAtt AAML MLAU 68 817 0 06 Nov 2019
Incremental Learning Techniques for Semantic Segmentation Umberto Michieli Pietro Zanuttigh SSeg CLL VLM 89 234 0 31 Jul 2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI Erico Tjoa Cuntai Guan XAI 92 1,446 0 17 Jul 2019
Meta-Learning Representations for Continual Learning Khurram Javed Martha White KELM CLL 80 319 0 29 May 2019
DRIT++: Diverse Image-to-Image Translation via Disentangled Representations Hsin-Ying Lee Hung-Yu Tseng Qi Mao Jia-Bin Huang Yu-Ding Lu Maneesh Kumar Singh Ming-Hsuan Yang DRL 76 781 0 02 May 2019
Experience Replay for Continual Learning David Rolnick Arun Ahuja Jonathan Richard Schwarz Timothy Lillicrap Greg Wayne CLL 116 1,158 0 28 Nov 2018
Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data O. Tasar Y. Tarabalka Pierre Alliez CLL 95 127 0 29 Oct 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam SSeg 430 13,121 0 07 Feb 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence Arslan Chaudhry P. Dokania Thalaiyasingam Ajanthan Philip Torr CLL 97 1,139 0 30 Jan 2018
Rethinking Atrous Convolution for Semantic Image Segmentation Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam SSeg 225 8,470 0 17 Jun 2017
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 352 7,498 0 02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 137 3,754 0 23 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 289 19,981 0 07 Oct 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 290 4,400 0 29 Jun 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,954 0 16 Feb 2016
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 246 4,667 0 21 Dec 2014
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 253 12,431 0 24 Jun 2012