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Continual learning is a challenging problem in which models need to be trained on non-stationary data across sequential tasks for class-incremental learning.
Catastrophic interference in connectionist networks: The sequential learning problem
Michael McCloskey and Neal J. Cohen · 1989
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Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory
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Chris J. Maddison, Andriy Mnih, and Yee Whye Teh · 2017
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icarl: Incremental classifier and representation learning
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Learning to localize sound source in visual scenes
Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, and In So Kweon · 2018
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Yapeng Tian, Jing Shi, Bochen Li, Zhiyao Duan, and Chenliang Xu · 2018
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Hang Zhao, Chuang Gan, Andrew Rouditchenko, Carl Vondrick, Josh McDermott, and Antonio Torralba · 2018
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Il2m: Class incremental learning with dual memory
Eden Belouadah and Adrian Popescu · 2019
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On tiny episodic memories in continual learning
Arslan Chaudhry, Marcus Rohrbach, Mohamed Elhoseiny, Thalaiyasingam Ajanthan, Puneet K Dokania, Philip HS Torr, and Marc’Aurelio Ranzato · 2019
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2.5d visual sound
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Co-separating sounds of visual objects
Ruohan Gao and Kristen Grauman · 2019
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Learning a unified classifier incrementally via rebalancing
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Deep multimodal clustering for unsupervised audiovisual learning
Di Hu, Feiping Nie, and Xuelong Li · 2019
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Self-supervised audio-visual co-segmentation
Andrew Rouditchenko, Hang Zhao, Chuang Gan, Josh H. McDermott, and Antonio Torralba · 2019
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Large scale incremental learning
Yue Wu, Yinpeng Chen, Lijuan Wang, Yuancheng Ye, Zicheng Liu, Yandong Guo, and Yun Fu · 2019
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Visualvoice: Audio-visual speech separation with cross-modal consistency
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The power of scale for parameter-efficient prompt tuning
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Prefix-tuning: Optimizing continuous prompts for generation
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Exploring cross-video and cross-modality signals for weakly-supervised audio-visual video parsing
Yan-Bo Lin, Hung-Yu Tseng, Hsin-Ying Lee, Yen-Yu Lin, and Ming-Hsuan Yang · 2021
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Robust audio-visual instance discrimination
Pedro Morgado, Ishan Misra, and Nuno Vasconcelos · 2021
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Audio-visual instance discrimination with cross-modal agreement
Pedro Morgado, Nuno Vasconcelos, and Ishan Misra · 2021
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The sound of motions
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How does it sound?
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Multi-modal grouping network for weakly-supervised audio-visual video parsing
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Learning to prompt for continual learning
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Learning in audio-visual context: A review, analysis, and new perspective
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Groupvit: Semantic segmentation emerges from text supervision
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A unified audio-visual learning framework for localization, separation, and recognition
Shentong Mo and Pedro Morgado · 2023
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DiffAVA: Personalized text-to-audio generation with visual alignment
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Audio-visual grouping network for sound localization from mixtures
Shentong Mo and Yapeng Tian · 2023
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AV-SAM: Segment anything model meets audio-visual localization and segmentation
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Audio-visual class-incremental learning
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