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09/20/2023
Towards Joint Modeling of Dialogue Response and Speech Synthesis based on Large Language Model
This paper explores the potential of constructing an AI spoken dialogue ...
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09/02/2023
Few shot font generation via transferring similarity guided global style and quantization local style
Automatic few-shot font generation (AFFG), aiming at generating new font...
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06/17/2023
NBMOD: Find It and Grasp It in Noisy Background
Grasping objects is a fundamental yet important capability of robots, an...
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12/16/2022
Mobile Augmented Reality with Federated Learning in the Metaverse
The Metaverse is deemed the next evolution of the Internet and has recei...
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11/16/2022
Resource Allocation of Federated Learning for the Metaverse with Mobile Augmented Reality
The Metaverse has received much attention recently. Metaverse applicatio...
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09/29/2022
Joint Optimization of Energy Consumption and Completion Time in Federated Learning
Federated Learning (FL) is an intriguing distributed machine learning ap...
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08/31/2022
Injecting Image Details into CLIP's Feature Space
Although CLIP-like Visual Language Models provide a functional joint fea...
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03/11/2022
A New Learning Paradigm for Stochastic Configuration Network: SCN+
Learning using privileged information (LUPI) paradigm, which pioneered t...
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03/09/2022
Statistical Depth for Point Process via the Isometric Log-Ratio Transformation
Statistical depth, a useful tool to measure the center-outward rank of m...
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01/24/2022
A Stochastic Process Model for Time Warping Functions
Time warping function provides a mathematical representation to measure ...
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11/22/2021
Nanorobot queue: Cooperative treatment of cancer based on team member communication and image processing
Although nanorobots have been used as clinical prescriptions for work su...
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02/15/2021
RPPLNS: Pay-per-last-N-shares with a Randomised Twist
"Pay-per-last-N-shares" (PPLNS) is one of the most common payout strateg...
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11/30/2020
Feature Space Singularity for Out-of-Distribution Detection
Out-of-Distribution (OoD) detection is important for building safe artif...
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05/23/2020
A New Algorithm using Component-wise Adaptive Trimming For Robust Mixture Regression
Mixture regression provides a statistical model for teasing out latent h...
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03/09/2020
Learning Delicate Local Representations for Multi-Person Pose Estimation
In this paper, we propose a novel method called Residual Steps Network (...
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12/25/2017
Learning to Run with Actor-Critic Ensemble
We introduce an Actor-Critic Ensemble(ACE) method for improving the perf...
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07/04/2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
We introduce an extremely computation-efficient CNN architecture named S...
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04/11/2017
EAST: An Efficient and Accurate Scene Text Detector
Previous approaches for scene text detection have already achieved promi...
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12/01/2016
Training Bit Fully Convolutional Network for Fast Semantic Segmentation
Fully convolutional neural networks give accurate, per-pixel prediction ...
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11/30/2016
Effective Quantization Methods for Recurrent Neural Networks
Reducing bit-widths of weights, activations, and gradients of a Neural N...
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06/29/2016
Scene Text Detection via Holistic, Multi-Channel Prediction
Recently, scene text detection has become an active research topic in co...
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06/20/2016
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients
We propose DoReFa-Net, a method to train convolutional neural networks t...
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12/31/2015
Exploiting Local Structures with the Kronecker Layer in Convolutional Networks
In this paper, we propose and study a technique to reduce the number of ...
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11/30/2015
Incidental Scene Text Understanding: Recent Progresses on ICDAR 2015 Robust Reading Competition Challenge 4
Different from focused texts present in natural images, which are captur...
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06/10/2015