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 16 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 11 6 0 06 Sep 2021
Densely connected neural networks for nonlinear regression Chao Jiang Canchen Jiang Dongwei Chen Fei Hu PINN 13 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 22 1 0 28 Jul 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 20 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 11 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
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