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09/15/2023
Leveraging the Power of Data Augmentation for Transformer-based Tracking
Due to long-distance correlation and powerful pretrained models, transfo...
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07/26/2023
Utilizing Large Language Models for Natural Interface to Pharmacology Databases
The drug development process necessitates that pharmacologists undertake...
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06/29/2023
End-to-end Reinforcement Learning for Online Coverage Path Planning in Unknown Environments
Coverage path planning is the problem of finding the shortest path that ...
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05/29/2023
propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors on CT Scans
**Background:** Accurate 3D CT scan segmentation of gastric tumors is pi...
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05/23/2023
NeuralMatrix: Moving Entire Neural Networks to General Matrix Multiplication for Efficient Inference
In this study, we introduce NeuralMatrix, a novel framework that enables...
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10/27/2022
Reinforced Question Rewriting for Conversational Question Answering
Conversational Question Answering (CQA) aims to answer questions contain...
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05/22/2022
Vision-based Anti-UAV Detection and Tracking
Unmanned aerial vehicles (UAV) have been widely used in various fields, ...
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05/17/2022
Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation
As one of the most challenging and practical segmentation tasks, open-wo...
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04/19/2022
Shape-Aware Monocular 3D Object Detection
The detection of 3D objects through a single perspective camera is a cha...
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04/08/2022
Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline
With the popularity of multi-modal sensors, visible-thermal (RGB-T) obje...
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03/16/2022
Multi-Scale Context-Guided Lumbar Spine Disease Identification with Coarse-to-fine Localization and Classification
Accurate and efficient lumbar spine disease identification is crucial fo...
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03/10/2022
Online Deep Metric Learning via Mutual Distillation
Deep metric learning aims to transform input data into an embedding spac...
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03/02/2022
Imitation of Manipulation Skills Using Multiple Geometries
Daily manipulation tasks are characterized by regular characteristics as...
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01/13/2022
Recursive Least Squares Policy Control with Echo State Network
The echo state network (ESN) is a special type of recurrent neural netwo...
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10/28/2021
OneFlow: Redesign the Distributed Deep Learning Framework from Scratch
Deep learning frameworks such as TensorFlow and PyTorch provide a produc...
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09/29/2021
Unsupervised Domain Adaptation in Semantic Segmentation Based on Pixel Alignment and Self-Training
This paper proposes an unsupervised cross-modality domain adaptation app...
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09/25/2021
Contrastive Learning for Mitochondria Segmentation
Mitochondria segmentation in electron microscopy images is essential in ...
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08/09/2021
Video Annotation for Visual Tracking via Selection and Refinement
Deep learning based visual trackers entail offline pre-training on large...
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04/08/2021
BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation
Blood vessel segmentation is crucial for many diagnostic and research ap...
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02/26/2021
Efficient Client Contribution Evaluation for Horizontal Federated Learning
In federated learning (FL), fair and accurate measurement of the contrib...
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10/19/2020
Adversarial Training for Code Retrieval with Question-Description Relevance Regularization
Code retrieval is a key task aiming to match natural and programming lan...
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09/16/2020
High-Performance Mining of COVID-19 Open Research Datasets for Text Classification and Insights in Cloud Computing Environments
COVID-19 global pandemic is an unprecedented health crisis. Since the ou...
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07/04/2020
Jointly Modeling Motion and Appearance Cues for Robust RGB-T Tracking
In this study, we propose a novel RGB-T tracking framework by jointly mo...
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12/05/2019
Easy-to-Hard: Leveraging Simple Questions for Complex Question Generation
This paper makes one of the first efforts toward automatically generatin...
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11/22/2019
An End-to-End Framework for Cold Question Routing in Community Question Answering Services
Routing newly posted questions (a.k.a cold questions) to potential answe...
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11/04/2019
PGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei Segmentation
Automated cervical nucleus segmentation based on deep learning can effec...
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09/20/2019
Object grasping planning for the situation when soft and rigid objects are mixed together
In this paper, we propose a object detection method expressed as rotated...
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09/19/2019
Assembly of randomly placed parts realized by using only one robot arm with a general parallel-jaw gripper
In industry assembly lines, parts feeding machines are widely employed a...
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07/26/2019
Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images
Segmenting coronary arteries is challenging, as classic unsupervised met...
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07/07/2019
ASCNet: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning
Extracting multi-scale information is key to semantic segmentation. Howe...
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04/19/2019
Automated Segmentation of Pulmonary Lobes using Coordination-Guided Deep Neural Networks
The identification of pulmonary lobes is of great importance in disease ...
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02/24/2019
Vision Based Picking System for Automatic Express Package Dispatching
This paper presents a vision based robotic system to handle the picking ...
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02/24/2019
Efficient Fully Convolution Neural Network for Generating Pixel Wise Robotic Grasps With High Resolution Images
This paper presents an efficient neural network model to generate roboti...
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12/03/2018
Automated Segmentation of Cervical Nuclei in Pap Smear Images using Deformable Multi-path Ensemble Model
Pap smear testing has been widely used for detecting cervical cancers ba...
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06/12/2018
Controlling spectral energies of all harmonics in programmable way using time-domain digital coding metasurface
Modern wireless communication is one of the most important information t...
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11/03/2012