Online Continual Learning for Robust Indoor Object Recognition

19 July 2023

Papers citing "Online Continual Learning for Robust Indoor Object Recognition"

23 / 23 papers shown

Title
ActMAD: Activation Matching to Align Distributions for Test-Time-Training M. Jehanzeb Mirza Pol Jané Soneira W. Lin Mateusz Koziñski Horst Possegger Horst Bischof VLM TTA 82 29 0 23 Nov 2022
Learning with Style: Continual Semantic Segmentation Across Tasks and Domains Marco Toldo Umberto Michieli Pietro Zanuttigh CLL VLM 71 6 0 13 Oct 2022
Lifelong Wandering: A realistic few-shot online continual learning setting Mayank Lunayach James Smith Z. Kira CLL 28 3 0 16 Jun 2022
Continual Test-Time Domain Adaptation Qin Wang Olga Fink Luc Van Gool Dengxin Dai OOD TTA 101 421 0 25 Mar 2022
Learning where to learn: Gradient sparsity in meta and continual learning J. Oswald Dominic Zhao Seijin Kobayashi Simon Schug Massimo Caccia Nicolas Zucchet João Sacramento CLL 71 47 0 27 Oct 2021
A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays Leonardo Ravaglia Manuele Rusci D. Nadalini Alessandro Capotondi Francesco Conti Luca Benini BDL 69 68 0 20 Oct 2021
Mean Embeddings with Test-Time Data Augmentation for Ensembling of Representations Arsenii Ashukha Andrei Atanov Dmitry Vetrov OOD FedML 53 6 0 15 Jun 2021
Continual Learning at the Edge: Real-Time Training on Smartphone Devices Lorenzo Pellegrini Vincenzo Lomonaco G. Graffieti Davide Maltoni 48 27 0 24 May 2021
Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning Zheda Mai Ruiwen Li Hyunwoo J. Kim Scott Sanner CLL 65 185 0 22 Mar 2021
Online Continual Learning in Image Classification: An Empirical Survey Zheda Mai Ruiwen Li Jihwan Jeong David Quispe Hyunwoo J. Kim Scott Sanner VLM CLL 73 417 0 25 Jan 2021
Better Aggregation in Test-Time Augmentation Divya Shanmugam Davis W. Blalock Guha Balakrishnan John Guttag ViT 56 148 0 23 Nov 2020
Learning Loss for Test-Time Augmentation Ildoo Kim Younghoon Kim Sungwoong Kim OOD 51 92 0 22 Oct 2020
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Tyler L. Hayes Christopher Kanan CLL 68 143 0 04 Sep 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 133 18,106 0 28 May 2019
Searching for MobileNetV3 Andrew G. Howard Mark Sandler Grace Chu Liang-Chieh Chen Bo Chen ... Yukun Zhu Ruoming Pang Vijay Vasudevan Quoc V. Le Hartwig Adam 339 6,772 0 06 May 2019
Certified Adversarial Robustness via Randomized Smoothing Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter AAML 132 2,036 0 08 Feb 2019
Efficient Lifelong Learning with A-GEM Arslan Chaudhry MarcÁurelio Ranzato Marcus Rohrbach Mohamed Elhoseiny CLL 193 1,453 0 02 Dec 2018
Deep Visual Domain Adaptation: A Survey Mei Wang Weihong Deng OOD 66 2,010 0 10 Feb 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence Arslan Chaudhry P. Dokania Thalaiyasingam Ajanthan Philip Torr CLL 91 1,139 0 30 Jan 2018
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization P. Li Jiangtao Xie Qilong Wang Zilin Gao 56 256 0 04 Dec 2017
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 113 2,711 0 26 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 346 7,498 0 02 Dec 2016
Stochastic Pooling for Regularization of Deep Convolutional Neural Networks Matthew D. Zeiler Rob Fergus 186 989 0 16 Jan 2013