Search Results for author: Youshan Zhang

Found 21 papers, 8 papers with code

Stall Number Detection of Cow Teats Key Frames

no code implementations18 Mar 2023 Youshan Zhang

In this paper, we present a small cow stall number dataset named CowStallNumbers, which is extracted from cow teat videos with the goal of advancing cow stall number detection.

Lung segmentation with NASNet-Large-Decoder Net

1 code implementation18 Mar 2023 Youshan Zhang

Lung cancer has emerged as a severe disease that threatens human life and health.

Image Segmentation Semantic Segmentation

BirdSoundsDenoising: Deep Visual Audio Denoising for Bird Sounds

1 code implementation18 Oct 2022 Youshan Zhang, Jialu Li

Audio denoising has been explored for decades using both traditional and deep learning-based methods.

Audio Denoising Denoising +4

House Price Prediction Based On Deep Learning

no code implementations19 Apr 2022 Yuying Wu, Youshan Zhang

Since ancient times, what Chinese people have been pursuing is very simple, which is nothing more than "to live and work happily, to eat and dress comfortable".

A Survey of Unsupervised Domain Adaptation for Visual Recognition

no code implementations13 Dec 2021 Youshan Zhang

The principal objective of UDA is to reduce the domain discrepancy between the labeled source data and unlabeled target data and to learn domain-invariant representations across the two domains during training.

Unsupervised Domain Adaptation

Deep Least Squares Alignment for Unsupervised Domain Adaptation

1 code implementation3 Nov 2021 Youshan Zhang, Brian D. Davison

Unsupervised domain adaptation leverages rich information from a labeled source domain to model an unlabeled target domain.

Unsupervised Domain Adaptation

Automatic Head Overcoat Thickness Measure with NASNet-Large-Decoder Net

no code implementations22 Jun 2021 Youshan Zhang, Brian D. Davison, Vivien W. Talghader, Zhiyu Chen, Zhiyong Xiao, Gary J. Kunkel

To further improve segmentation results, we are the first to propose a post-processing layer to remove irrelevant portions in the segmentation result.

Image Segmentation Semantic Segmentation

Correlated Adversarial Joint Discrepancy Adaptation Network

no code implementations18 May 2021 Youshan Zhang, Brian D. Davison

To address these issues, we propose a novel approach called correlated adversarial joint discrepancy adaptation network (CAJNet), which minimizes the joint discrepancy of two domains and achieves competitive performance with tuning parameters using the correlated label.

Unsupervised Domain Adaptation

Deep Spherical Manifold Gaussian Kernel for Unsupervised Domain Adaptation

no code implementations5 May 2021 Youshan Zhang, Brian D. Davison

To align the conditional distributions, we further develop an easy-to-hard pseudo label refinement process to improve the quality of the pseudo labels and then reduce categorical spherical manifold Gaussian kernel geodesic loss.

Pseudo Label Unsupervised Domain Adaptation

Efficient Pre-trained Features and Recurrent Pseudo-Labeling in Unsupervised Domain Adaptation

1 code implementation27 Apr 2021 Youshan Zhang, Brian D. Davison

In this paper, we show how to efficiently opt for the best pre-trained features from seventeen well-known ImageNet models in unsupervised DA problems.

Unsupervised Domain Adaptation

Adversarial Regression Learning for Bone Age Estimation

1 code implementation10 Mar 2021 Youshan Zhang, Brian D. Davison

In this paper, we propose an adversarial regression learning network (ARLNet) for bone age estimation.

Age Estimation regression

Adversarial Consistent Learning on Partial Domain Adaptation of PlantCLEF 2020 Challenge

no code implementations19 Sep 2020 Youshan Zhang, Brian D. Davison

Adversarial learning loss can maintain domain-invariant features between the source and target domains.

Partial Domain Adaptation

Bayesian Geodesic Regression on Riemannian Manifolds

no code implementations24 Aug 2020 Youshan Zhang

However, it cannot automatically choose the dimensionality of data.


Impact of ImageNet Model Selection on Domain Adaptation

1 code implementation6 Feb 2020 Youshan Zhang, Brian D. Davison

We extract features from sixteen distinct pre-trained ImageNet models and examine the performance of twelve benchmarking methods when using the features.

Benchmarking Domain Adaptation +2

Mixture Probabilistic Principal Geodesic Analysis

no code implementations3 Sep 2019 Youshan Zhang, Jiarui Xing, Miaomiao Zhang

Dimensionality reduction on Riemannian manifolds is challenging due to the complex nonlinear data structures.

Clustering Dimensionality Reduction

Corticospinal Tract (CST) reconstruction based on fiber orientation distributions(FODs) tractography

no code implementations23 Apr 2019 Youshan Zhang

The Corticospinal Tract (CST) is a part of pyramidal tract (PT), and it can innervate the voluntary movement of skeletal muscle through spinal interneurons (the 4th layer of the Rexed gray board layers), and anterior horn motorneurons (which control trunk and proximal limb muscles).

A Regressive Convolution Neural network and Support Vector Regression Model for Electricity Consumption Forecasting

1 code implementation21 Oct 2018 Youshan Zhang, Qi Li

Electricity consumption forecasting has important implications for the mineral companies on guiding quarterly work, normal power system operation, and the management.

Management regression

Electricity consumption forecasting method based on MPSO-BP neural network model

no code implementations21 Oct 2018 Youshan Zhang, Liangdong Guo, Qi Li, Junhui Li

This paper deals with the problem of the electricity consumption forecasting method.

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