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06/13/2023
Adding 3D Geometry Control to Diffusion Models
Diffusion models have emerged as a powerful method of generative modelin...
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06/01/2023
Continual Learning for Abdominal Multi-Organ and Tumor Segmentation
The ability to dynamically extend a model to new data and classes is cri...
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04/06/2023
Continual Detection Transformer for Incremental Object Detection
Incremental object detection (IOD) aims to train an object detector in p...
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03/24/2023
Class-Incremental Exemplar Compression for Class-Incremental Learning
Exemplar-based class-incremental learning (CIL) finetunes the model with...
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01/14/2023
RMM: Reinforced Memory Management for Class-Incremental Learning
Class-Incremental Learning (CIL) [40] trains classifiers under a strict ...
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01/11/2023
Online Hyperparameter Optimization for Class-Incremental Learning
Class-incremental learning (CIL) aims to train a classification model wh...
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10/10/2020
Meta-Aggregating Networks for Class-Incremental Learning
Class-Incremental Learning (CIL) aims to learn a classification model wi...
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02/24/2020
Mnemonics Training: Multi-Class Incremental Learning without Forgetting
Multi-Class Incremental Learning (MCIL) aims to learn new concepts by in...
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10/07/2019
Meta-Transfer Learning through Hard Tasks
Meta-learning has been proposed as a framework to address the challengin...
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06/03/2019
Learning to Self-Train for Semi-Supervised Few-Shot Classification
Few-shot classification (FSC) is challenging due to the scarcity of labe...
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04/17/2019
LCC: Learning to Customize and Combine Neural Networks for Few-Shot Learning
Meta-learning has been shown to be an effective strategy for few-shot le...
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12/06/2018