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03/24/2023
2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object Detection
Object detection at night is a challenging problem due to the absence of...
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03/15/2023
HeRAFC: Heuristic Resource Allocation and Optimization in MultiFog-Cloud Environment
By bringing computing capacity from a remote cloud environment closer to...
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07/05/2022
ACT-Net: Asymmetric Co-Teacher Network for Semi-supervised Memory-efficient Medical Image Segmentation
While deep models have shown promising performance in medical image segm...
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07/05/2022
MMGL: Multi-Scale Multi-View Global-Local Contrastive learning for Semi-supervised Cardiac Image Segmentation
With large-scale well-labeled datasets, deep learning has shown signific...
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05/14/2022
Object-Aware Self-supervised Multi-Label Learning
Multi-label Learning on Image data has been widely exploited with deep l...
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05/14/2022
Self-supervised Assisted Active Learning for Skin Lesion Segmentation
Label scarcity has been a long-standing issue for biomedical image segme...
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03/01/2022
A predictive analytics approach for stroke prediction using machine learning and neural networks
The negative impact of stroke in society has led to concerted efforts to...
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10/31/2021
RRFT: A Rank-Based Resource Aware Fault Tolerant Strategy for Cloud Platforms
The applications that are deployed in the cloud to provide services to t...
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10/09/2020
Connection Pruning for Deep Spiking Neural Networks with On-Chip Learning
Long training time hinders the potential of the deep Spiking Neural Netw...
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05/08/2020
Multi-Phase Cross-modal Learning for Noninvasive Gene Mutation Prediction in Hepatocellular Carcinoma
Hepatocellular carcinoma (HCC) is the most common type of primary liver ...
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05/07/2020
Deeply Supervised Active Learning for Finger Bones Segmentation
Segmentation is a prerequisite yet challenging task for medical image an...
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04/25/2019