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10/04/2022
Knowledge Distillation based Contextual Relevance Matching for E-commerce Product Search
Online relevance matching is an essential task of e-commerce product sea...
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06/15/2022
TeKo: Text-Rich Graph Neural Networks with External Knowledge
Graph Neural Networks (GNNs) have gained great popularity in tackling va...
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06/14/2022
RDU: A Region-based Approach to Form-style Document Understanding
Key Information Extraction (KIE) is aimed at extracting structured infor...
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12/25/2021
DSRGAN: Detail Prior-Assisted Perceptual Single Image Super-Resolution via Generative Adversarial Networks
The generative adversarial network (GAN) is successfully applied to stud...
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11/20/2021
FAMINet: Learning Real-time Semi-supervised Video Object Segmentation with Steepest Optimized Optical Flow
Semi-supervised video object segmentation (VOS) aims to segment a few mo...
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11/14/2021
Deep Joint Demosaicing and High Dynamic Range Imaging within a Single Shot
Spatially varying exposure (SVE) is a promising choice for high-dynamic-...
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06/06/2021
Brain Age Estimation From MRI Using Cascade Networks with Ranking Loss
Chronological age of healthy people is able to be predicted accurately u...
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01/13/2021
Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search
Result relevance prediction is an essential task of e-commerce search en...
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10/23/2020
BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks
Graph convolutional networks (GCNs), aiming to integrate high-order neig...
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10/20/2020
BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search
Relevance has significant impact on user experience and business profit ...
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04/22/2020