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11/05/2022
Multi-Objective Evolutionary for Object Detection Mobile Architectures Search
Recently, Neural architecture search has achieved great success on class...
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07/26/2022
Distribution Learning Based on Evolutionary Algorithm Assisted Deep Neural Networks for Imbalanced Image Classification
To address the trade-off problem of quality-diversity for the generated ...
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03/20/2022
Vision Transformer with Convolutions Architecture Search
Transformers exhibit great advantages in handling computer vision tasks....
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09/08/2021
Visual Sensation and Perception Computational Models for Deep Learning: State of the art, Challenges and Prospects
Visual sensation and perception refers to the process of sensing, organi...
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03/23/2021
Enhanced Gradient for Differentiable Architecture Search
In recent years, neural architecture search (NAS) methods have been prop...
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01/31/2021
MLMA-Net: multi-level multi-attentional learning for multi-label object detection in textile defect images
For the sake of recognizing and classifying textile defects, deep learni...
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01/10/2021
Adaptive Prototypical Networks with Label Words and Joint Representation Learning for Few-Shot Relation Classification
Relation classification (RC) task is one of fundamental tasks of informa...
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12/21/2020
Optimizing Deep Neural Networks through Neuroevolution with Stochastic Gradient Descent
Deep neural networks (DNNs) have achieved remarkable success in computer...
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03/10/2020
Hybrid Attention-Based Transformer Block Model for Distant Supervision Relation Extraction
With an exponential explosive growth of various digital text information...
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03/07/2020