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07/19/2023
Multi-modal Learning based Prediction for Disease
Non alcoholic fatty liver disease (NAFLD) is the most common cause of ch...
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02/11/2023
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning
Task-agnostic cross-domain pre-training shows great potential in image-b...
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02/13/2022
BViT: Broad Attention based Vision Transformer
Recent works have demonstrated that transformer can achieve promising pe...
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11/15/2021
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search
Different from other deep scalable architecture based NAS approaches, Br...
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10/08/2021
ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search
Currently, an increasing number of model pruning methods are proposed to...
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09/22/2020
Heuristic Rank Selection with Progressively Searching Tensor Ring Network
Recently, Tensor Ring Networks (TRNs) have been applied in deep networks...
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09/18/2020
Faster Gradient-based NAS Pipeline Combining Broad Scalable Architecture with Confident Learning Rate
In order to further improve the search efficiency of Neural Architecture...
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07/15/2020
ContourRend: A Segmentation Method for Improving Contours by Rendering
A good object segmentation should contain clear contours and complete re...
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04/18/2020
BiFNet: Bidirectional Fusion Network for Road Segmentation
Multi-sensor fusion-based road segmentation plays an important role in t...
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04/10/2020
ModuleNet: Knowledge-inherited Neural Architecture Search
Although Neural Architecture Search (NAS) can bring improvement to deep ...
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01/18/2020
Efficient Neural Architecture Search: A Broad Version
Efficient Neural Architecture Search (ENAS) achieves novel efficiency fo...
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01/02/2020
Graph-FCN for image semantic segmentation
Semantic segmentation with deep learning has achieved great progress in ...
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03/30/2019
Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints
Autonomous driving decision-making is a great challenge due to the compl...
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10/30/2018
