A Comprehensive Analysis of Deep Regression

22 March 2018

Stéphane Lathuilière

Pablo Mesejo

Xavier Alameda-Pineda

Radu Horaud

BDL

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Papers citing "A Comprehensive Analysis of Deep Regression"

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Title
Test-time Adaptation for Regression by Subspace Alignment Kazuki Adachi Shin'ya Yamaguchi Atsutoshi Kumagai Tomoki Hamagami TTA 46 0 0 04 Oct 2024
Bayesian optimization for sparse neural networks with trainable activation functions M. Fakhfakh Lotfi Chaari 20 2 0 10 Apr 2023
Smooth Mathematical Function from Compact Neural Networks I. K. Hong 21 0 0 31 Dec 2022
Generative models-based data labeling for deep networks regression: application to seed maturity estimation from UAV multispectral images Eric Dericquebourg A. Hafiane R. Canals 21 6 0 09 Aug 2022
Distributional loss for convolutional neural network regression and application to GNSS multi-path estimation Thomas Gonzalez Antoine Blais Nicolas P. Couellan Christian Ruiz 21 4 0 03 Jun 2022
Probabilistic Regression with Huber Distributions David Mohlin G. Bianchi Josephine Sullivan 34 2 0 19 Nov 2021
Survey of Deep Learning Methods for Inverse Problems S. Kamyab Zihreh Azimifar Rasool Sabzi Paul Fieguth 21 3 0 07 Nov 2021
A Simple Approach to Image Tilt Correction with Self-Attention MobileNet for Smartphones Siddhant Garg D. Mohanty S. Thota Sukumar Moharana ViT 19 2 0 31 Oct 2021
Backdoor Attack and Defense for Deep Regression Xi Li G. Kesidis David J. Miller V. Lucic AAML 19 6 0 06 Sep 2021
Densely connected neural networks for nonlinear regression Chao Jiang Canchen Jiang Dongwei Chen Fei Hu PINN 15 20 0 29 Jul 2021
Robust and Active Learning for Deep Neural Network Regression Xi Li G. Kesidis David J. Miller Maxime Bergeron Ryan Ferguson V. Lucic 24 1 0 28 Jul 2021
DPNNet-2.0 Part I: Finding hidden planets from simulated images of protoplanetary disk gaps Sayantan Auddy Ramit Dey Min-Kai Lin C. Hall 20 7 0 19 Jul 2021
A Review on Deep Learning in UAV Remote Sensing L. Osco J. M. Junior A. P. Ramos L. Jorge S. Fatholahi J. Silva E. Matsubara H. Pistori W. Gonçalves Jonathan Li AI4Cl 39 342 0 22 Jan 2021
Accurate 3D Object Detection using Energy-Based Models Fredrik K. Gustafsson Martin Danelljan Thomas B. Schon 3DPC 38 10 0 08 Dec 2020
Learning Visual Voice Activity Detection with an Automatically Annotated Dataset Sylvain Guy Stéphane Lathuilière Pablo Mesejo Radu Horaud 29 11 0 23 Sep 2020
Monitoring Browsing Behavior of Customers in Retail Stores via RFID Imaging Kamran Ali A. Liu Eugene Chai K. Sundaresan 24 9 0 07 Jul 2020
Variational Inference and Learning of Piecewise-linear Dynamical Systems Xavier Alameda-Pineda Vincent Drouard Radu Horaud 27 12 0 02 Jun 2020
From WiscKey to Bourbon: A Learned Index for Log-Structured Merge Trees Yifan Dai Yien Xu Aishwarya Ganesan Ramnatthan Alagappan Brian Kroth Andrea C. Arpaci-Dusseau Remzi H. Arpaci-Dusseau 13 1 0 28 May 2020
Consistent and Flexible Selectivity Estimation for High-Dimensional Data Yaoshu Wang Chuan Xiao Jianbin Qin Rui Mao Onizuka Makoto Wei Wang Rui Zhang Yoshiharu Ishikawa 33 14 0 20 May 2020
RSSI-Based Hybrid Beamforming Design with Deep Learning Hamed Hojatian Vu Nguyen Ha Jérémy Nadal J. Frigon François Leduc-Primeau 9 13 0 12 Mar 2020
Probabilistic Regressor Chains with Monte Carlo Methods Jesse Read Luca Martino BDL UQCV AI4CE LRM 30 11 0 18 Jul 2019
Data driven approximation of parametrized PDEs by Reduced Basis and Neural Networks N. D. Santo S. Deparis Luca Pegolotti 19 66 0 02 Apr 2019
Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation Andrea Pilzer Stéphane Lathuilière N. Sebe Elisa Ricci MDE 25 135 0 11 Mar 2019
A Practical Guide to CNNs and Fisher Vectors for Image Instance Retrieval V. Chandrasekhar Jie Lin Olivier Morère Hanlin Goh A. Veillard 29 85 0 11 Aug 2015