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Incremental Object Detection via Meta-Learning.

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Incremental Object Detection via Meta-Learning., , , , , и . CoRR, (2020)A Multi-modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps: A Case Study on Google Play Store., , , , и . CoRR, (2020)Combined Static and Motion Features for Deep-Networks Based Activity Recognition in Videos., , , , , и . CoRR, (2018)Meta-learning the Learning Trends Shared Across Tasks., , , , и . CoRR, (2020)Performance Characterization of Deep Learning Models for Breathing-based Authentication on Resource-Constrained Devices., , , , , и . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2 (4): 158:1-158:24 (2018)Tracking People by Predicting 3D Appearance, Location and Pose., , , и . CVPR, стр. 2730-2739. IEEE, (2022)iTAML: An Incremental Task-Agnostic Meta-learning Approach., , , , и . CVPR, стр. 13585-13594. Computer Vision Foundation / IEEE, (2020)Tracking People with 3D Representations., , , и . NeurIPS, стр. 23703-23713. (2021)Random Path Selection for Continual Learning., , , , и . NeurIPS, стр. 12648-12658. (2019)TextCaps: Handwritten Character Recognition With Very Small Datasets., , , , , и . WACV, стр. 254-262. IEEE, (2019)