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Marc Masana's repositories

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

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Implementation of "Metric Learning for Novelty and Anomaly Detection", BMVC 2018

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Implementation of "Domain-adaptive deep network compression", ICCV 2017

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Implementation of "Ternary Feature Masks: zero-forgetting for task-incremental learning"

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Code from "On Class Orderings for Incremental Learning", CL-ICML 2020

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Strategy submission for the CLVISION challenge 2023 (CVPR workshop)

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A curated list of awesome anomaly detection resources

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Awesome Incremental Learning

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Hands-On example for training MNIST on LeNet

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ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild

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The rep for the RotateNetworks in ICPR18, Beijing, China.

Language:PythonMIT010