+
PDF
Chat
|
Deep Regression Forests for Age Estimation
|
2018
|
Wei Shen
Yilu Guo
Yan Wang
Kai Zhao
Bo Wang
Alan Yuille
|
5
|
+
|
Very Deep Convolutional Networks for Large-Scale Image Recognition
|
2014
|
Karen Simonyan
Andrew Zisserman
|
4
|
+
PDF
Chat
|
Deep Residual Learning for Image Recognition
|
2016
|
Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
|
4
|
+
|
Support vector learning for ordinal regression
|
1999
|
Ralf Herbrich
|
3
|
+
|
Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks
|
2016
|
Le Hou
Chen-Ping Yu
Dimitris Samaras
|
3
|
+
PDF
Chat
|
Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks
|
2016
|
Kaipeng Zhang
Zhanpeng Zhang
Zhifeng Li
Yu Qiao
|
3
|
+
PDF
Chat
|
ImageNet Large Scale Visual Recognition Challenge
|
2015
|
Olga Russakovsky
Jia Deng
Hao Su
Jonathan Krause
Sanjeev Satheesh
Sean Ma
Zhiheng Huang
Andrej Karpathy
Aditya Khosla
Michael S. Bernstein
|
3
|
+
|
Label Distribution Learning Forests
|
2017
|
Wei Shen
Kai Zhao
Yilu Guo
Alan Yuille
|
3
|
+
PDF
Chat
|
NIMA: Neural Image Assessment
|
2018
|
Hossein Talebi
Peyman Milanfar
|
2
|
+
|
Label Distribution Learning Forests
|
2017
|
Wei Shen
Kai Zhao
Yilu Guo
Alan Yuille
|
2
|
+
|
Adaptive Neural Trees
|
2018
|
Ryutaro Tanno
Kai Arulkumaran
Daniel C. Alexander
Antonio Criminisi
Aditya Nori
|
2
|
+
PDF
Chat
|
Analysis of Ordinal Categorical Data.
|
1985
|
Robert K. Tsutakawa
Alan Agresti
|
2
|
+
|
Adam: A Method for Stochastic Optimization
|
2014
|
Diederik P. Kingma
Jimmy Ba
|
2
|
+
PDF
Chat
|
Training and testing object detectors with virtual images
|
2018
|
Yonglin Tian
Xuan Li
Kunfeng Wang
Fei‐Yue Wang
|
2
|
+
PDF
Chat
|
A Gated Peripheral-Foveal Convolutional Neural Network for Unified Image Aesthetic Prediction
|
2019
|
Xiaodan Zhang
Xinbo Gao
Wen Lu
Lihuo He
|
2
|
+
PDF
Chat
|
Support Vector Ordinal Regression
|
2007
|
Wei Chu
S. Sathiya Keerthi
|
2
|
+
PDF
Chat
|
Shape and margin-aware lung nodule classification in low-dose CT images via soft activation mapping
|
2019
|
Yiming Lei
Yukun Tian
Hongming Shan
Junping Zhang
Ge Wang
Mannudeep K. Kalra
|
2
|
+
PDF
Chat
|
Age Progression/Regression by Conditional Adversarial Autoencoder
|
2017
|
Zhifei Zhang
Yang Song
Hairong Qi
|
1
|
+
PDF
Chat
|
On Loss Functions for Deep Neural Networks in Classification
|
2017
|
Katarzyna Janocha
Wojciech Marian Czarnecki
|
1
|
+
|
Learning Face Age Progression: A Pyramid Architecture of GANs
|
2017
|
Hongyu Yang
Di Huang
Yunhong Wang
Anil K. Jain
|
1
|
+
PDF
Chat
|
Learning to detect chest radiographs containing pulmonary lesions using visual attention networks
|
2019
|
Emanuele Pesce
Samuel Withey
Petros-Pavlos Ypsilantis
Robert Bakewell
Vicky Goh
Giovanni Montana
|
1
|
+
|
Deep Ordinal Regression Network for Monocular Depth Estimation
|
2018
|
Huan Fu
Mingming Gong
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
|
1
|
+
PDF
Chat
|
Improving Breast Cancer Detection Using Symmetry Information with Deep Learning
|
2018
|
Yeman Brhane Hagos
Albert Gubern Mérida
Jonas Teuwen
|
1
|
+
|
BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation
|
2019
|
Wanhua Li
Jiwen Lu
Jianjiang Feng
Chunjing Xu
Jie Zhou
Qi Tian
|
1
|
+
PDF
Chat
|
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation
|
2019
|
Nabil Ibtehaz
M. Sohel Rahman
|
1
|
+
|
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting
|
2019
|
Jun Shu
Qi Xie
Lixuan Yi
Qian Zhao
Sanping Zhou
Zongben Xu
Deyu Meng
|
1
|
+
|
Personalized Age Progression with Aging Dictionary
|
2015
|
Xiangbo Shu
Jinhui Tang
Hanjiang Lai
Luoqi Liu
Shuicheng Yan
|
1
|
+
|
Temporal Non-Volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition
|
2017
|
Chi Nhan Duong
Kha Gia Quach
Khoa Luu
Ngan Le
Marios Savvides
|
1
|
+
|
Photo Aesthetics Ranking Network with Attributes and Content Adaptation
|
2016
|
Shu Kong
Xiaohui Shen
Zhe Lin
Radomír Měch
Charless C. Fowlkes
|
1
|
+
|
Age Progression/Regression by Conditional Adversarial Autoencoder
|
2017
|
Zhifei Zhang
Yang Song
Hairong Qi
|
1
|
+
PDF
Chat
|
BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation
|
2019
|
Wanhua Li
Jiwen Lu
Jianjiang Feng
Chunjing Xu
Jie Zhou
Qi Tian
|
1
|
+
PDF
Chat
|
Task Agnostic Meta-Learning for Few-Shot Learning
|
2019
|
Muhammad Abdullah Jamal
Guo-Jun Qi
|
1
|
+
|
Very Deep Convolutional Networks for Large-Scale Image Recognition
|
2014
|
Karen Simonyan
Andrew Zisserman
|
1
|
+
PDF
Chat
|
Image-to-Image Translation with Conditional Adversarial Networks
|
2017
|
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
|
1
|
+
|
DeepLung: 3D Deep Convolutional Nets for Automated Pulmonary Nodule Detection and Classification
|
2017
|
Wentao Zhu
Chaochun Liu
Wei Fan
Xiaohui Xie
|
1
|
+
PDF
Chat
|
Learning Face Age Progression: A Pyramid Architecture of GANs
|
2018
|
Hongyu Yang
Di Huang
Yunhong Wang
Anil K. Jain
|
1
|
+
PDF
Chat
|
Deep Ordinal Regression Network for Monocular Depth Estimation
|
2018
|
Huan Fu
Mingming Gong
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
|
1
|
+
PDF
Chat
|
TumorNet: Lung nodule characterization using multi-view Convolutional Neural Network with Gaussian Process
|
2017
|
Sarfaraz Hussein
Robert J. Gillies
Kunlin Cao
Qi Song
Ulaş Bağcı
|
1
|
+
PDF
Chat
|
Attribute-Aware Face Aging With Wavelet-Based Generative Adversarial Networks
|
2019
|
Yunfan Liu
Qi Li
Zhenan Sun
|
1
|
+
PDF
Chat
|
Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening
|
2019
|
Nan Wu
Jason Phang
Jungkyu Park
Yiqiu Shen
Zhe Huang
Masha Zorin
Stanisław Jastrzȩbski
Thibault Févry
Joe Katsnelson
Eric Kim
|
1
|
+
PDF
Chat
|
Deep Learning to Improve Breast Cancer Detection on Screening Mammography
|
2019
|
Li Shen
Laurie R. Margolies
Joseph H. Rothstein
Eugene Fluder
Russell B. McBride
Weiva Sieh
|
1
|
+
|
Mathematical methods of classical mechanics
|
1978
|
Владимир Игоревич Арнольд
|
1
|
+
PDF
Chat
|
UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation
|
2020
|
Hui-Min Huang
Lanfen Lin
Ruofeng Tong
Hongjie Hu
Qiaowei Zhang
Yutaro Iwamoto
Xian‐Hua Han
Yen‐Wei Chen
Jian Wu
|
1
|
+
|
Deep Ordinal Regression Forests
|
2020
|
Haiping Zhu
Yuheng Zhang
Hongming Shan
Lingfu Che
Xiaoyang Xu
Junping Zhang
Jianbo Shi
Fei‐Yue Wang
|
1
|
+
PDF
Chat
|
3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network
|
2018
|
Hongming Shan
Yi Zhang
Qingsong Yang
Uwe Krüger
Mannudeep K. Kalra
Ling Sun
Wenxiang Cong
Ge Wang
|
1
|
+
PDF
Chat
|
Face Aging Effect Simulation Using Hidden Factor Analysis Joint Sparse Representation
|
2016
|
Hongyu Yang
Di Huang
Yunhong Wang
Heng Wang
Yuanyan Tang
|
1
|
+
PDF
Chat
|
Meta Ordinal Regression Forest For Learning with Unsure Lung Nodules
|
2020
|
Yiming Lei
Haiping Zhu
Junping Zhang
Hongming Shan
|
1
|
+
PDF
Chat
|
Convolutional Ordinal Regression Forest for Image Ordinal Estimation
|
2021
|
Haiping Zhu
Hongming Shan
Yuheng Zhang
Lingfu Che
Xiaoyang Xu
Junping Zhang
Jianbo Shi
Fei‐Yue Wang
|
1
|
+
|
Wiley Series in Probability and Statistics
|
2008
|
|
1
|
+
|
Unimodal probability distributions for deep ordinal classification
|
2017
|
Christopher Beckham
Christopher Pal
|
1
|