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05/07/2023
Data Efficient Training with Imbalanced Label Sample Distribution for Fashion Detection
Multi-label classification models have a wide range of applications in E...
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02/27/2023
HalluAudio: Hallucinating Frequency as Concepts for Few-Shot Audio Classification
Few-shot audio classification is an emerging topic that attracts more an...
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11/13/2022
FedRule: Federated Rule Recommendation System with Graph Neural Networks
Much of the value that IoT (Internet-of-Things) devices bring to “smart”...
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05/24/2022
Package Theft Detection from Smart Home Security Cameras
Package theft detection has been a challenging task mainly due to lack o...
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10/19/2021
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation
Knowledge Distillation is becoming one of the primary trends among neura...
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12/19/2019
TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning
The successful application of deep learning to many visual recognition t...
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11/11/2019
Open-Ended Visual Question Answering by Multi-Modal Domain Adaptation
We study the problem of visual question answering (VQA) in images by exp...
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08/20/2019