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Deep Residual Learning for Image Recognition

Deep Residual Learning for Image Recognition

10 December 2015
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
    MedIm
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Papers citing "Deep Residual Learning for Image Recognition"

50 / 24,587 papers shown
Title
A Spectral Nonlocal Block for Neural Networks
A Spectral Nonlocal Block for Neural Networks
Lei Zhu
Qi She
Lidan Zhang
Ping Guo
18
2
0
04 Nov 2019
Unimodal-uniform Constrained Wasserstein Training for Medical Diagnosis
Unimodal-uniform Constrained Wasserstein Training for Medical Diagnosis
Xiaofeng Liu
Xu Han
Yukai Qiao
Yi Ge
Lu Jun
22
32
0
03 Nov 2019
Conservative Wasserstein Training for Pose Estimation
Conservative Wasserstein Training for Pose Estimation
Xiaofeng Liu
Yang Zou
Tong Che
Peng Ding
P. Jia
J. You
Kumar B.V.K
26
33
0
03 Nov 2019
Enhanced Convolutional Neural Tangent Kernels
Enhanced Convolutional Neural Tangent Kernels
Zhiyuan Li
Ruosong Wang
Dingli Yu
S. Du
Wei Hu
Ruslan Salakhutdinov
Sanjeev Arora
16
131
0
03 Nov 2019
Generalizing to unseen domains via distribution matching
Generalizing to unseen domains via distribution matching
Isabela Albuquerque
João Monteiro
Mohammad Javad Darvishi Bayazi
T. Falk
Ioannis Mitliagkas
OOD
24
154
0
03 Nov 2019
Deep-Gap: A deep learning framework for forecasting crowdsourcing
  supply-demand gap based on imaging time series and residual learning
Deep-Gap: A deep learning framework for forecasting crowdsourcing supply-demand gap based on imaging time series and residual learning
Ahmed Ben Said
A. Erradi
AI4TS
22
7
0
02 Nov 2019
Global Convergence of Gradient Descent for Deep Linear Residual Networks
Global Convergence of Gradient Descent for Deep Linear Residual Networks
Lei Wu
Qingcan Wang
Chao Ma
ODL
AI4CE
28
22
0
02 Nov 2019
On-Device Machine Learning: An Algorithms and Learning Theory
  Perspective
On-Device Machine Learning: An Algorithms and Learning Theory Perspective
Sauptik Dhar
Junyao Guo
Jiayi Liu
S. Tripathi
Unmesh Kurup
Mohak Shah
28
141
0
02 Nov 2019
Unsupervised Multi-Domain Multimodal Image-to-Image Translation with
  Explicit Domain-Constrained Disentanglement
Unsupervised Multi-Domain Multimodal Image-to-Image Translation with Explicit Domain-Constrained Disentanglement
Weihao Xia
Yujiu Yang
Jing-Hao Xue
24
15
0
02 Nov 2019
Learning a Representation for Cover Song Identification Using
  Convolutional Neural Network
Learning a Representation for Cover Song Identification Using Convolutional Neural Network
Zhesong Yu
Xiaoshuo Xu
Xiaoou Chen
Deshun Yang
SSL
16
27
0
01 Nov 2019
ALERT: Accurate Learning for Energy and Timeliness
ALERT: Accurate Learning for Energy and Timeliness
Chengcheng Wan
M. Santriaji
E. Rogers
H. Hoffmann
Michael Maire
Shan Lu
AI4CE
43
40
0
31 Oct 2019
TAB-VCR: Tags and Attributes based Visual Commonsense Reasoning
  Baselines
TAB-VCR: Tags and Attributes based Visual Commonsense Reasoning Baselines
Jingxiang Lin
Unnat Jain
A. Schwing
LRM
ReLM
34
9
0
31 Oct 2019
Can adversarial training learn image captioning ?
Can adversarial training learn image captioning ?
Jean-Benoit Delbrouck
Bastien Vanderplaetse
Stéphane Dupont
GAN
VLM
39
1
0
31 Oct 2019
Visual Appearance Based Person Retrieval in Unconstrained Environment
  Videos
Visual Appearance Based Person Retrieval in Unconstrained Environment Videos
Hiren J. Galiyawala
M. Raval
Shivansh Dave
11
8
0
31 Oct 2019
CN-CELEB: a challenging Chinese speaker recognition dataset
CN-CELEB: a challenging Chinese speaker recognition dataset
Yue Fan
Jiawen Kang
Lantian Li
Keliang Li
Haolin Chen
Sitong Cheng
Pengyuan Zhang
Ziya Zhou
Yunqi Cai
Dong Wang
23
203
0
31 Oct 2019
Multivariate Uncertainty in Deep Learning
Multivariate Uncertainty in Deep Learning
Rebecca L. Russell
Christopher P. Reale
BDL
UQCV
17
68
0
31 Oct 2019
A QMC-deep learning method for diffusivity estimation in random domains
A QMC-deep learning method for diffusivity estimation in random domains
Liyao Lyu
Zhiwen Zhang
Jingrun Chen
11
1
0
31 Oct 2019
Understanding the Role of Momentum in Stochastic Gradient Methods
Understanding the Role of Momentum in Stochastic Gradient Methods
Igor Gitman
Hunter Lang
Pengchuan Zhang
Lin Xiao
33
94
0
30 Oct 2019
Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks
  with Backward Residual Connections, Stochastic Softmax and Hybridization
Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks with Backward Residual Connections, Stochastic Softmax and Hybridization
Priyadarshini Panda
Sai Aparna Aketi
Kaushik Roy
18
35
0
30 Oct 2019
Real-time Convolutional Networks for Depth-based Human Pose Estimation
Real-time Convolutional Networks for Depth-based Human Pose Estimation
Á. Martínez-González
M. Villamizar
Olivier Canévet
J. Odobez
3DH
21
27
0
30 Oct 2019
Comprehensive Video Understanding: Video summarization with
  content-based video recommender design
Comprehensive Video Understanding: Video summarization with content-based video recommender design
Yudong Jiang
Kaixu Cui
B. Peng
Changliang Xu
BDL
14
28
0
30 Oct 2019
Metric Learning with Background Noise Class for Few-shot Detection of
  Rare Sound Events
Metric Learning with Background Noise Class for Few-shot Detection of Rare Sound Events
Kazuki Shimada
Yuichiro Koyama
A. Inoue
24
23
0
30 Oct 2019
Form2Fit: Learning Shape Priors for Generalizable Assembly from
  Disassembly
Form2Fit: Learning Shape Priors for Generalizable Assembly from Disassembly
Kevin Zakka
Andy Zeng
Johnny Lee
Shuran Song
3DPC
31
111
0
30 Oct 2019
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
Risto Vuorio
Shao-Hua Sun
Hexiang Hu
Joseph J. Lim
30
219
0
30 Oct 2019
Domain Generalization via Model-Agnostic Learning of Semantic Features
Domain Generalization via Model-Agnostic Learning of Semantic Features
Qi Dou
Daniel Coelho De Castro
Konstantinos Kamnitsas
Ben Glocker
OOD
57
685
0
29 Oct 2019
Convolutional Conditional Neural Processes
Convolutional Conditional Neural Processes
Jonathan Gordon
W. Bruinsma
Andrew Y. K. Foong
James Requeima
Yann Dubois
Richard Turner
BDL
25
162
0
29 Oct 2019
Generalization of Reinforcement Learners with Working and Episodic
  Memory
Generalization of Reinforcement Learners with Working and Episodic Memory
Meire Fortunato
Melissa Tan
Ryan Faulkner
Steven Hansen
Adria Puigdomenech Badia
Gavin Buttimore
Charlie Deck
Joel Z Leibo
Charles Blundell
19
70
0
29 Oct 2019
On the Benefit of Adversarial Training for Monocular Depth Estimation
On the Benefit of Adversarial Training for Monocular Depth Estimation
R. Groenendijk
Sezer Karaoglu
Theo Gevers
Thomas Mensink
GAN
MDE
12
29
0
29 Oct 2019
Weighted boxes fusion: Ensembling boxes from different object detection
  models
Weighted boxes fusion: Ensembling boxes from different object detection models
R. Solovyev
Weimin Wang
Tatiana Gabruseva
22
48
0
29 Oct 2019
Adversarial Example in Remote Sensing Image Recognition
Adversarial Example in Remote Sensing Image Recognition
Li Chen
Guowei Zhu
Qi Li
Haifeng Li
AAML
15
26
0
29 Oct 2019
Learning from Label Proportions with Consistency Regularization
Learning from Label Proportions with Consistency Regularization
Kuen-Han Tsai
Hsuan-Tien Lin
19
44
0
29 Oct 2019
Decomposable-Net: Scalable Low-Rank Compression for Neural Networks
Decomposable-Net: Scalable Low-Rank Compression for Neural Networks
A. Yaguchi
Taiji Suzuki
Shuhei Nitta
Y. Sakata
A. Tanizawa
19
9
0
29 Oct 2019
An α-Matte Boundary Defocus Model Based Cascaded Network for
  Multi-focus Image Fusion
An α-Matte Boundary Defocus Model Based Cascaded Network for Multi-focus Image Fusion
Haoyu Ma
Q. Liao
Juncheng Zhang
Shaojun Liu
Jing-Hao Xue
25
56
0
29 Oct 2019
Highly-scalable, physics-informed GANs for learning solutions of
  stochastic PDEs
Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs
Liu Yang
Sean Treichler
Thorsten Kurth
Keno Fischer
D. Barajas-Solano
...
Valentin Churavy
A. Tartakovsky
Michael Houston
P. Prabhat
George Karniadakis
AI4CE
47
38
0
29 Oct 2019
Neural Similarity Learning
Neural Similarity Learning
Weiyang Liu
Zhen Liu
James M. Rehg
Le Song
27
29
0
28 Oct 2019
IPGuard: Protecting Intellectual Property of Deep Neural Networks via
  Fingerprinting the Classification Boundary
IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary
Xiaoyu Cao
Jinyuan Jia
Neil Zhenqiang Gong
11
106
0
28 Oct 2019
Learning Data Manipulation for Augmentation and Weighting
Learning Data Manipulation for Augmentation and Weighting
Zhiting Hu
Bowen Tan
Ruslan Salakhutdinov
Tom Michael Mitchell
Eric Xing
29
116
0
28 Oct 2019
Deep Joint Source-Channel Coding for Wireless Image Retrieval
Deep Joint Source-Channel Coding for Wireless Image Retrieval
Mikolaj Jankowski
Deniz Gunduz
K. Mikolajczyk
24
54
0
28 Oct 2019
FD-Net with Auxiliary Time Steps: Fast Prediction of PDEs using
  Hessian-Free Trust-Region Methods
FD-Net with Auxiliary Time Steps: Fast Prediction of PDEs using Hessian-Free Trust-Region Methods
Nur Sila Gulgec
Zheng Shi
Neil Deshmukh
S. Pakzad
Martin Takáč
23
6
0
28 Oct 2019
Beyond temperature scaling: Obtaining well-calibrated multiclass
  probabilities with Dirichlet calibration
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration
Meelis Kull
Miquel Perelló Nieto
Markus Kängsepp
Telmo de Menezes e Silva Filho
Hao Song
Peter A. Flach
UQCV
31
369
0
28 Oct 2019
FontGAN: A Unified Generative Framework for Chinese Character
  Stylization and De-stylization
FontGAN: A Unified Generative Framework for Chinese Character Stylization and De-stylization
Xiyan Liu
Gaofeng Meng
Shiming Xiang
Chunhong Pan
37
5
0
28 Oct 2019
Adaptive Sampling for Stochastic Risk-Averse Learning
Adaptive Sampling for Stochastic Risk-Averse Learning
Sebastian Curi
Kfir Y. Levy
Stefanie Jegelka
Andreas Krause
24
51
0
28 Oct 2019
Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any
  Architecture are Gaussian Processes
Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes
Greg Yang
33
191
0
28 Oct 2019
Secure Evaluation of Quantized Neural Networks
Secure Evaluation of Quantized Neural Networks
Anders Dalskov
Daniel E. Escudero
Marcel Keller
17
137
0
28 Oct 2019
ACE: Adaptive Confusion Energy for Natural World Data Distribution
ACE: Adaptive Confusion Energy for Natural World Data Distribution
Yen-Chi Hsu
Cheng-Yao Hong
Ding-Jie Chen
Ming-Sui Lee
D. Geiger
Tyng-Luh Liu
17
4
0
28 Oct 2019
SENSE: a Shared Encoder Network for Scene-flow Estimation
SENSE: a Shared Encoder Network for Scene-flow Estimation
Huaizu Jiang
Deqing Sun
Varun Jampani
Zhaoyang Lv
Erik Learned-Miller
Jan Kautz
3DPC
VOS
24
74
0
27 Oct 2019
Weakly Supervised Multi-Task Learning for Cell Detection and
  Segmentation
Weakly Supervised Multi-Task Learning for Cell Detection and Segmentation
Alireza Chamanzar
Yao Nie
21
53
0
27 Oct 2019
Hierarchical Clustering with Hard-batch Triplet Loss for Person
  Re-identification
Hierarchical Clustering with Hard-batch Triplet Loss for Person Re-identification
Kaiwei Zeng
36
255
0
27 Oct 2019
An Adaptive and Momental Bound Method for Stochastic Learning
An Adaptive and Momental Bound Method for Stochastic Learning
Jianbang Ding
Xuancheng Ren
Ruixuan Luo
Xu Sun
ODL
16
46
0
27 Oct 2019
Deep Learning for Plasma Tomography and Disruption Prediction from
  Bolometer Data
Deep Learning for Plasma Tomography and Disruption Prediction from Bolometer Data
D. R. Ferreira
P. Carvalho
H. Fernandes
30
37
0
27 Oct 2019
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