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03/24/2023
Two-level Graph Network for Few-Shot Class-Incremental Learning
Few-shot class-incremental learning (FSCIL) aims to design machine learn...
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03/06/2023
Centroid Distance Distillation for Effective Rehearsal in Continual Learning
Rehearsal, retraining on a stored small data subset of old tasks, has be...
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11/27/2022
Multi-Label Continual Learning using Augmented Graph Convolutional Network
Multi-Label Continual Learning (MLCL) builds a class-incremental framewo...
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07/16/2022
Class-Incremental Lifelong Learning in Multi-Label Classification
Existing class-incremental lifelong learning studies only the data is wi...
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03/10/2022
AGCN: Augmented Graph Convolutional Network for Lifelong Multi-label Image Recognition
The Lifelong Multi-Label (LML) image recognition builds an online class-...
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10/21/2021
Each Attribute Matters: Contrastive Attention for Sentence-based Image Editing
Sentence-based Image Editing (SIE) aims to deploy natural language to ed...
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06/16/2021
Disentangling Semantic-to-visual Confusion for Zero-shot Learning
Using generative models to synthesize visual features from semantic dist...
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12/26/2020
Coarse to Fine: Multi-label Image Classification with Global/Local Attention
In our daily life, the scenes around us are always with multiple labels ...
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12/14/2020
Multi-Domain Multi-Task Rehearsal for Lifelong Learning
Rehearsal, seeking to remind the model by storing old knowledge in lifel...
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05/19/2020
Associating Multi-Scale Receptive Fields for Fine-grained Recognition
Extracting and fusing part features have become the key of fined-grained...
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04/15/2019
