Gallery — Two-column

Gallery Items tagged Two-column

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Using ResNet for Pulmonary Nodule Classification
Using ResNet for Pulmonary Nodule Classification
Classifying pulmonary nodule CT images as either benign or malignant, using a trained Residual Neural Network.
Owen Li
généralités sur les fonctions exercices
généralités sur les fonctions exercices
généralités sur les fonctions exercices
EL HASSAR SMAIL
Two-column article template by Frits Wenneker
Two-column article template by Frits Wenneker
Two-column article template with coloured title and initial capital at the beginning of the paragraph. This template was created by Frits Wenneker. This template was originally published on ShareLaTeX and subsequently moved to Overleaf in October 2019.
Uploaded from ShareLaTeX
Conservative Wasserstein Training for Pose Estimation
Conservative Wasserstein Training for Pose Estimation
Paper presented at ICCV 2019. This paper targets the task with discrete and periodic class labels (e.g., pose/orientation estimation) in the context of deep learning. The commonly used cross-entropy or regression loss is not well matched to this problem as they ignore the periodic nature of the labels and the class similarity, or assume labels are continuous value. We propose to incorporate inter-class correlations in a Wasserstein training framework by pre-defining (i.e., using arc length of a circle) or adaptively learning the ground metric. We extend the ground metric as a linear, convex or concave increasing function w.r.t. arc length from an optimization perspective. We also propose to construct the conservative target labels which model the inlier and outlier noises using a wrapped unimodal-uniform mixture distribution. Unlike the one-hot setting, the conservative label makes the computation of Wasserstein distance more challenging. We systematically conclude the practical closed-form solution of Wasserstein distance for pose data with either one-hot or conservative target label. We evaluate our method on head, body, vehicle and 3D object pose benchmarks with exhaustive ablation studies. The Wasserstein loss obtaining superior performance over the current methods, especially using convex mapping function for ground metric, conservative label, and closed-form solution.
Xiaofeng Liu, Yang Zou, Tong Che, Peng Ding, Ping Jia, Jane You, B.V.K. Vijaya Kumar
AACL-IJCNLP 2020 Proceedings Template
AACL-IJCNLP 2020 Proceedings Template
Used for AACL-IJCNLP manuscript submissions. Note from Overleaf: SyncTeX will not work correctly with this template (as well as other templates based on similar underlying code, eg CVPR, EMNLP, etc) when the line numbers are active. To make SyncTeX function while authoring your manuscript, either on Overleaf or in your own LaTeX installation, the line numbers have to be turned off by uncommenting \aclfinalcopy.
AACL-IJCNLP 2020 PC Chairs
Language Resources and Evaluation Conference 2020 LaTeX template
Language Resources and Evaluation Conference 2020 LaTeX template
12th Edition of the Language Resources and Evaluation Conference LaTeX template. Source: https://lrec2020.lrec-conf.org/en/submission2020/authors-kit/.
LREC 2020 Organizers
Modelo INATEL INCITEL
Modelo INATEL INCITEL
Modelo de escrita de artigo científico para o INCITEL - Congresso de Iniciação Científica do Inatel.
Phyllipe Lima
Modelo INATEL TCC GRADUACAO
Modelo INATEL TCC GRADUACAO
Modelo de TCC para alunos da graduação dos cursos que utilizam artigos científicos.
Phyllipe Lima, Daylon Ramos
Principles of Rendering: Example short paper
Principles of Rendering: Example short paper
A simple template used for teaching.
Richard Southern

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