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Deep learning based domain adaptation for mitochondria segmentation on EM volumes
Background and Objective: Accurate segmentation of electron microscopy (EM) volumes of the brain is essential to characterize neuronal …
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Deep learning based domain adaptation for mitochondria segmentation on EM volumes
Deep Learning with Discriminative Margin Loss for Cross-Domain Consumer-to-Shop Clothes Retrieval
Consumer-to-shop clothes retrieval refers to the problem of matching photos taken by customers with their counterparts in the shop. Due …
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Driver drowsiness detection in video sequences using hybrid selection of deep features
Monitoring driver’s drowsiness is a complex problem that involves many indicators whether behavioral or physiological. Drowsiness …
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Egocentric Vision-based Action Recognition: A survey
The egocentric action recognition EAR field has recently increased its popularity due to the affordable and lightweight wearable …
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Multi-view spectral clustering via constrained nonnegative embedding
Multi-view clustering has attracted much attention recently. Among all clustering approaches, spectral ones have gained much popularity …
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One-step multi-view spectral clustering with cluster label correlation graph
Recently, one-step clustering methods have shown good performance. However, very few one-step approaches have addressed the multi-view …
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Spatiotemporal CNN with Pyramid Bottleneck Blocks: Application to eye blinking detection
Eye blink detection is a challenging problem that many researchers are working on because it has the potential to solve many facial …
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Statistical Atlases and Automatic Labeling Strategies to Accelerate the Analysis of Social Insect Brain Evolution
Current methods used to quantify brain size and compartmental scaling relationships in studies of social insect brain evolution involve …
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SuperpixelGridMasks data augmentation: Application to precision health and other real-world data
A novel approach of data augmentation based on irregular superpixel decomposition is proposed. This approach called SuperpixelGridMasks …
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A novel multi-level pyramid co-variance operators for estimation of personality traits and job screening scores
Recently, automatic personality analysis is becoming an interesting topic for computer vision. Many attempts have been proposed to …
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