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01/30/2023
KG-BERTScore: Incorporating Knowledge Graph into BERTScore for Reference-Free Machine Translation Evaluation
BERTScore is an effective and robust automatic metric for referencebased...
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07/11/2022
HEGrid: A High Efficient Multi-Channel Radio Astronomical Data Gridding Framework in Heterogeneous Computing Environments
The challenge to fully exploit the potential of existing and upcoming sc...
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06/16/2022
XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence
Recent advances in machine learning have significantly improved the unde...
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06/10/2022
StructCoder: Structure-Aware Transformer for Code Generation
There has been a recent surge of interest in automating software enginee...
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06/10/2021
A Dataset And Benchmark Of Underwater Object Detection For Robot Picking
Underwater object detection for robot picking has attracted a lot of int...
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02/10/2020
Autonomous quadrotor obstacle avoidance based on dueling double deep recurrent Q-learning with monocular vision
The rapid development of unmanned aerial vehicles (UAV) puts forward a h...
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02/10/2020
Autonomous quadrotor obstacle avoidance based on dueling double deep recurrent Q network with monocular vision
The fast developing of unmanned aerial vehicle(UAV) brings forward the h...
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11/21/2019
LATTE: Latent Type Modeling for Biomedical Entity Linking
Entity linking is the task of linking mentions of named entities in natu...
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06/14/2019
Low-light Image Enhancement Algorithm Based on Retinex and Generative Adversarial Network
Low-light image enhancement is generally regarded as a challenging task ...
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06/12/2019
Deep Reinforcement Learning for Unmanned Aerial Vehicle-Assisted Vehicular Networks
Unmanned aerial vehicles (UAVs) are envisioned to complement the 5G comm...
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06/12/2019
Deep Reinforcement Learning for Unmanned Aerial Vehicle-Assisted Vehicular Networks in Smart Cities
Unmanned aerial vehicles (UAVs) are envisioned to complement the 5G comm...
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11/25/2018
Background Subtraction with Real-time Semantic Segmentation
Accurate and fast foreground object extraction is very important for obj...
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10/16/2018
A Robust Local Binary Similarity Pattern for Foreground Object Detection
Accurate and fast extraction of the foreground object is one of the most...
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07/05/2018
Combining Background Subtraction Algorithms with Convolutional Neural Network
Accurate and fast extraction of foreground object is a key prerequisite ...
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12/27/2017
An Online Ride-Sharing Path Planning Strategy for Public Vehicle Systems
As efficient traffic-management platforms, public vehicle (PV) systems a...
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09/07/2016
