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A General and Adaptive Robust Loss Function

A General and Adaptive Robust Loss Function

11 January 2017
Jonathan T. Barron
    OOD
    DRL
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Papers citing "A General and Adaptive Robust Loss Function"

31 / 81 papers shown
Title
Squareplus: A Softplus-Like Algebraic Rectifier
Squareplus: A Softplus-Like Algebraic Rectifier
Jonathan T. Barron
11
19
0
22 Dec 2021
Revisiting LiDAR Registration and Reconstruction: A Range Image
  Perspective
Revisiting LiDAR Registration and Reconstruction: A Range Image Perspective
W. Dong
Kwonyoung Ryu
Michael Kaess
Jaesik Park
3DV
32
5
0
06 Dec 2021
Probabilistic Regression with Huber Distributions
Probabilistic Regression with Huber Distributions
David Mohlin
G. Bianchi
Josephine Sullivan
26
2
0
19 Nov 2021
Defocus Map Estimation and Deblurring from a Single Dual-Pixel Image
Defocus Map Estimation and Deblurring from a Single Dual-Pixel Image
Shumian Xin
Neal Wadhwa
Tianfan Xue
Jonathan T. Barron
Pratul P. Srinivasan
Jiawen Chen
Ioannis Gkioulekas
Rahul Garg
21
35
0
12 Oct 2021
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image
  Enhancement
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement
Uddeshya Upadhyay
Viswanath P. Sudarshan
Suyash P. Awate
MedIm
46
21
0
07 Oct 2021
Beyond Robustness: A Taxonomy of Approaches towards Resilient
  Multi-Robot Systems
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems
Amanda Prorok
Matthew Malencia
Luca Carlone
Gaurav Sukhatme
Brian M. Sadler
Vijay R. Kumar
97
53
0
25 Sep 2021
Certifiably Optimal Outlier-Robust Geometric Perception: Semidefinite
  Relaxations and Scalable Global Optimization
Certifiably Optimal Outlier-Robust Geometric Perception: Semidefinite Relaxations and Scalable Global Optimization
Heng Yang
Luca Carlone
25
53
0
07 Sep 2021
Generalized Huber Loss for Robust Learning and its Efficient
  Minimization for a Robust Statistics
Generalized Huber Loss for Robust Learning and its Efficient Minimization for a Robust Statistics
Kaan Gokcesu
Hakan Gokcesu
14
59
0
28 Aug 2021
Majorization Minimization Methods for Distributed Pose Graph
  Optimization
Majorization Minimization Methods for Distributed Pose Graph Optimization
Taosha Fan
Todd D. Murphey
31
18
0
30 Jul 2021
Human Pose Regression with Residual Log-likelihood Estimation
Human Pose Regression with Residual Log-likelihood Estimation
Jiefeng Li
Siyuan Bian
Ailing Zeng
Can Wang
Bo Pang
Wentao Liu
Cewu Lu
19
191
0
23 Jul 2021
Robust Nonparametric Regression with Deep Neural Networks
Robust Nonparametric Regression with Deep Neural Networks
Guohao Shen
Yuling Jiao
Yuanyuan Lin
Jian Huang
OOD
33
13
0
21 Jul 2021
Being Properly Improper
Being Properly Improper
Tyler Sypherd
Richard Nock
Lalitha Sankar
FaML
31
10
0
18 Jun 2021
CIRA Guide to Custom Loss Functions for Neural Networks in Environmental
  Sciences -- Version 1
CIRA Guide to Custom Loss Functions for Neural Networks in Environmental Sciences -- Version 1
I. Ebert‐Uphoff
Ryan Lagerquist
Kyle Hilburn
Yoonjin Lee
Katherine Haynes
Jason Stock
C. Kumler
J. Stewart
18
20
0
17 Jun 2021
LAFFNet: A Lightweight Adaptive Feature Fusion Network for Underwater
  Image Enhancement
LAFFNet: A Lightweight Adaptive Feature Fusion Network for Underwater Image Enhancement
Hao-Hsiang Yang
Kuan-Chih Huang
Wei-Ting Chen
29
59
0
04 May 2021
S3Net: A Single Stream Structure for Depth Guided Image Relighting
S3Net: A Single Stream Structure for Depth Guided Image Relighting
Hao-Hsiang Yang
Wei-Ting Chen
Sy-Yen Kuo
MDE
23
12
0
03 May 2021
SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround
  View Fisheye Cameras
SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras
Varun Ravi Kumar
Marvin Klingner
S. Yogamani
Markus Bach
Stefan Milz
Tim Fingscheidt
Patrick Mäder
MDE
48
37
0
09 Apr 2021
Baking Neural Radiance Fields for Real-Time View Synthesis
Baking Neural Radiance Fields for Real-Time View Synthesis
Peter Hedman
Pratul P. Srinivasan
B. Mildenhall
Jonathan T. Barron
P. Debevec
43
562
0
26 Mar 2021
Neural Reprojection Error: Merging Feature Learning and Camera Pose
  Estimation
Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation
Hugo Germain
Vincent Lepetit
Guillaume Bourmaud
3DV
40
32
0
12 Mar 2021
A Comprehensive Review of Deep Learning-based Single Image
  Super-resolution
A Comprehensive Review of Deep Learning-based Single Image Super-resolution
S. M. A. Bashir
Yi Wang
Mahrukh Khan
Yilong Niu
SupR
AI4Cl
27
112
0
18 Feb 2021
Nerfies: Deformable Neural Radiance Fields
Nerfies: Deformable Neural Radiance Fields
Keunhong Park
U. Sinha
Jonathan T. Barron
Sofien Bouaziz
Dan B. Goldman
S. M. Seitz
Ricardo Martín Brualla
3DH
76
1,107
0
25 Nov 2020
High Fidelity Interactive Video Segmentation Using Tensor Decomposition
  Boundary Loss Convolutional Tessellations and Context Aware Skip Connections
High Fidelity Interactive Video Segmentation Using Tensor Decomposition Boundary Loss Convolutional Tessellations and Context Aware Skip Connections
A. Rhodes
Manan Goel
VOS
16
2
0
23 Nov 2020
Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets
  Training
Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets Training
Dingquan Li
Tingting Jiang
Ming Jiang
19
133
0
09 Nov 2020
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
Pengxu Wei
Hannan Lu
Radu Timofte
Liang Lin
W. Zuo
...
Jun-Ho Choi
Jong-Seok Lee
Feras Almasri
T. Vandamme
O. Debeir
SupR
35
41
0
25 Sep 2020
HITNet: Hierarchical Iterative Tile Refinement Network for Real-time
  Stereo Matching
HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching
V. Tankovich
Christian Häne
Yinda Zhang
Shahram Izadi
S. Fanello
Sofien Bouaziz
3DV
11
228
0
23 Jul 2020
4D Association Graph for Realtime Multi-person Motion Capture Using
  Multiple Video Cameras
4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras
Yuxiang Zhang
Liang An
Tao Yu
Xiu Li
Kun Li
Yebin Liu
11
80
0
28 Feb 2020
SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks
  with Multi-Part Loss Functions
SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks with Multi-Part Loss Functions
A. Heydari
Craig Thompson
A. Mehmood
24
57
0
27 Dec 2019
Deep Automodulators
Deep Automodulators
Ari Heljakka
Yuxin Hou
Juho Kannala
Arno Solin
31
5
0
21 Dec 2019
SteReFo: Efficient Image Refocusing with Stereo Vision
SteReFo: Efficient Image Refocusing with Stereo Vision
Benjamin Busam
Matthieu Hog
Steven G. McDonagh
Greg Slabaugh
VGen
MDE
17
33
0
29 Sep 2019
Anchor Loss: Modulating Loss Scale based on Prediction Difficulty
Anchor Loss: Modulating Loss Scale based on Prediction Difficulty
Serim Ryou
Seong-Gyun Jeong
Pietro Perona
11
43
0
24 Sep 2019
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
Andrey D. Ignatov
Radu Timofte
Thang Vu
T. Luu
T. Pham
...
T. Nimisha
Praveen Kandula
A. N. Rajagopalan
Jie Liu
Cheolkon Jung
SupR
19
134
0
03 Oct 2018
Local Kernels that Approximate Bayesian Regularization and Proximal
  Operators
Local Kernels that Approximate Bayesian Regularization and Proximal Operators
Frank Ong
P. Milanfar
Pascal Getreuer
22
12
0
09 Mar 2018
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