ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1512.03385
  4. Cited By
Deep Residual Learning for Image Recognition

Deep Residual Learning for Image Recognition

10 December 2015
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
    MedIm
ArXivPDFHTML

Papers citing "Deep Residual Learning for Image Recognition"

50 / 27,197 papers shown
Title
Underwater Fish Detection with Weak Multi-Domain Supervision
Underwater Fish Detection with Weak Multi-Domain Supervision
D. Konovalov
Alzayat Saleh
M. Bradley
M. Sankupellay
S. Marini
M. Sheaves
14
35
0
26 May 2019
Constellation Loss: Improving the efficiency of deep metric learning
  loss functions for optimal embedding
Constellation Loss: Improving the efficiency of deep metric learning loss functions for optimal embedding
Alfonso Medela
A. Picón
17
5
0
25 May 2019
Exploring Temporal Information for Improved Video Understanding
Exploring Temporal Information for Improved Video Understanding
Yi Zhu
23
0
0
25 May 2019
Beyond Visual Semantics: Exploring the Role of Scene Text in Image
  Understanding
Beyond Visual Semantics: Exploring the Role of Scene Text in Image Understanding
Arka Ujjal Dey
Suman K. Ghosh
Ernest Valveny
Gaurav Harit
25
23
0
25 May 2019
Unsupervised Single Image Underwater Depth Estimation
Unsupervised Single Image Underwater Depth Estimation
Honey Gupta
Kaushik Mitra
27
42
0
25 May 2019
Domain Adaptive Attention Learning for Unsupervised Person
  Re-Identification
Domain Adaptive Attention Learning for Unsupervised Person Re-Identification
Yangru Huang
Peixi Peng
Yi Jin
Yidong Li
Junliang Xing
Shiming Ge
OOD
22
41
0
25 May 2019
Enhancing Adversarial Defense by k-Winners-Take-All
Enhancing Adversarial Defense by k-Winners-Take-All
Chang Xiao
Peilin Zhong
Changxi Zheng
AAML
24
97
0
25 May 2019
Bayesian Tensorized Neural Networks with Automatic Rank Selection
Bayesian Tensorized Neural Networks with Automatic Rank Selection
Cole Hawkins
Zheng-Wei Zhang
BDL
25
52
0
24 May 2019
N-BEATS: Neural basis expansion analysis for interpretable time series
  forecasting
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
Boris N. Oreshkin
Dmitri Carpov
Nicolas Chapados
Yoshua Bengio
AI4TS
16
1,016
0
24 May 2019
DIVA: Domain Invariant Variational Autoencoders
DIVA: Domain Invariant Variational Autoencoders
Maximilian Ilse
Jakub M. Tomczak
Christos Louizos
Max Welling
DRL
OOD
33
198
0
24 May 2019
What Can ResNet Learn Efficiently, Going Beyond Kernels?
What Can ResNet Learn Efficiently, Going Beyond Kernels?
Zeyuan Allen-Zhu
Yuanzhi Li
24
183
0
24 May 2019
Privacy Risks of Securing Machine Learning Models against Adversarial
  Examples
Privacy Risks of Securing Machine Learning Models against Adversarial Examples
Liwei Song
Reza Shokri
Prateek Mittal
SILM
MIACV
AAML
6
235
0
24 May 2019
DEMEA: Deep Mesh Autoencoders for Non-Rigidly Deforming Objects
DEMEA: Deep Mesh Autoencoders for Non-Rigidly Deforming Objects
E. Tretschk
A. Tewari
Michael Zollhöfer
Vladislav Golyanik
Christian Theobalt
AI4CE
3DV
16
42
0
24 May 2019
A Comparison and Strategy of Semantic Segmentation on Remote Sensing
  Images
A Comparison and Strategy of Semantic Segmentation on Remote Sensing Images
Junxing Hu
Ling X. Li
Yijun Lin
Fengge Wu
Junsuo Zhao
27
27
0
24 May 2019
Fast Flow Reconstruction via Robust Invertible nxn Convolution
Fast Flow Reconstruction via Robust Invertible nxn Convolution
Thanh-Dat Truong
Khoa Luu
C. Duong
Ngan Le
M. Tran
19
7
0
24 May 2019
Structured Compression by Weight Encryption for Unstructured Pruning and
  Quantization
Structured Compression by Weight Encryption for Unstructured Pruning and Quantization
S. Kwon
Dongsoo Lee
Byeongwook Kim
Parichay Kapoor
Baeseong Park
Gu-Yeon Wei
MQ
27
48
0
24 May 2019
ACNet: Attention Based Network to Exploit Complementary Features for
  RGBD Semantic Segmentation
ACNet: Attention Based Network to Exploit Complementary Features for RGBD Semantic Segmentation
Xinxin Hu
Kailun Yang
Lei Fei
Kaiwei Wang
3DPC
32
343
0
24 May 2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with
  Edge Computing
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing
Zhi Zhou
Xu Chen
En Li
Liekang Zeng
Ke Luo
Junshan Zhang
44
1,421
0
24 May 2019
Momentum-Based Variance Reduction in Non-Convex SGD
Momentum-Based Variance Reduction in Non-Convex SGD
Ashok Cutkosky
Francesco Orabona
ODL
37
397
0
24 May 2019
Self-Critical Reasoning for Robust Visual Question Answering
Self-Critical Reasoning for Robust Visual Question Answering
Jialin Wu
Raymond J. Mooney
OOD
NAI
32
159
0
24 May 2019
Painless Stochastic Gradient: Interpolation, Line-Search, and
  Convergence Rates
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates
Sharan Vaswani
Aaron Mishkin
I. Laradji
Mark Schmidt
Gauthier Gidel
Simon Lacoste-Julien
ODL
29
205
0
24 May 2019
FSD: Feature Skyscraper Detector for Stem End and Blossom End of Navel
  Orange
FSD: Feature Skyscraper Detector for Stem End and Blossom End of Navel Orange
Xiaoye Sun
Gongyang Li
Shaoyun Xu
16
3
0
24 May 2019
Robust Attribution Regularization
Robust Attribution Regularization
Jiefeng Chen
Xi Wu
Vaibhav Rastogi
Yingyu Liang
S. Jha
OOD
14
83
0
23 May 2019
Multi-level Texture Encoding and Representation (MuLTER) based on Deep
  Neural Networks
Multi-level Texture Encoding and Representation (MuLTER) based on Deep Neural Networks
Yuting Hu
Z. Long
G. Al-Regib
24
16
0
23 May 2019
Neural ODEs with stochastic vector field mixtures
Neural ODEs with stochastic vector field mixtures
Niall Twomey
Michał Kozłowski
Raúl Santos-Rodríguez
19
4
0
23 May 2019
CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time
  Series Imputation
CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation
Jiawei Ma
Zheng Shou
Alireza Zareian
Hassan Mansour
A. Vetro
Shih-Fu Chang
AI4TS
28
61
0
23 May 2019
Prognostic Value of Transfer Learning Based Features in Resectable
  Pancreatic Ductal Adenocarcinoma
Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma
Yucheng Zhang
Edrise M. Lobo-Mueller
P. Karanicolas
S. Gallinger
M. Haider
Farzad Khalvati
MedIm
21
10
0
23 May 2019
CASS: Cross Adversarial Source Separation via Autoencoder
CASS: Cross Adversarial Source Separation via Autoencoder
Yong Zheng Ong
C. Chui
Haizhao Yang
DRL
13
4
0
23 May 2019
Interpreting Adversarially Trained Convolutional Neural Networks
Interpreting Adversarially Trained Convolutional Neural Networks
Tianyuan Zhang
Zhanxing Zhu
AAML
GAN
FAtt
28
158
0
23 May 2019
Zero-shot Knowledge Transfer via Adversarial Belief Matching
Zero-shot Knowledge Transfer via Adversarial Belief Matching
P. Micaelli
Amos Storkey
19
228
0
23 May 2019
A Perceptual Weighting Filter Loss for DNN Training in Speech
  Enhancement
A Perceptual Weighting Filter Loss for DNN Training in Speech Enhancement
Ziyue Zhao
Samy Elshamy
Tim Fingscheidt
19
15
0
23 May 2019
Adversarially Robust Distillation
Adversarially Robust Distillation
Micah Goldblum
Liam H. Fowl
S. Feizi
Tom Goldstein
AAML
15
201
0
23 May 2019
Decentralized Learning of Generative Adversarial Networks from Non-iid
  Data
Decentralized Learning of Generative Adversarial Networks from Non-iid Data
Ryo Yonetani
Tomohiro Takahashi
Atsushi Hashimoto
Yoshitaka Ushiku
45
24
0
23 May 2019
Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire
  Evacuation Environment
Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment
Jivitesh Sharma
Per-Arne Andersen
Ole-Christoffer Granmo
M. G. Olsen
AI4CE
38
68
0
23 May 2019
Spatial Group-wise Enhance: Improving Semantic Feature Learning in
  Convolutional Networks
Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks
Xiang Li
Xiaolin Hu
Jian Yang
24
193
0
23 May 2019
Tucker Decomposition Network: Expressive Power and Comparison
Tucker Decomposition Network: Expressive Power and Comparison
Ye Liu
Junjun Pan
Michael K. Ng
24
1
0
23 May 2019
Constrained Design of Deep Iris Networks
Constrained Design of Deep Iris Networks
Kien Nguyen
Clinton Fookes
Sridha Sridharan
CVBM
3DV
11
19
0
23 May 2019
Ensemble Model Patching: A Parameter-Efficient Variational Bayesian
  Neural Network
Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network
Oscar Chang
Yuling Yao
David Williams-King
Hod Lipson
BDL
UQCV
32
8
0
23 May 2019
MATCHA: Speeding Up Decentralized SGD via Matching Decomposition
  Sampling
MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling
Jianyu Wang
Anit Kumar Sahu
Zhouyi Yang
Gauri Joshi
S. Kar
29
159
0
23 May 2019
FiBiNET: Combining Feature Importance and Bilinear feature Interaction
  for Click-Through Rate Prediction
FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction
Tongwen Huang
Zhiqi Zhang
Junlin Zhang
24
275
0
23 May 2019
AttentionRNN: A Structured Spatial Attention Mechanism
AttentionRNN: A Structured Spatial Attention Mechanism
Siddhesh Khandelwal
Leonid Sigal
24
3
0
22 May 2019
Data-Efficient Image Recognition with Contrastive Predictive Coding
Data-Efficient Image Recognition with Contrastive Predictive Coding
Olivier J. Hénaff
A. Srinivas
J. Fauw
Ali Razavi
Carl Doersch
S. M. Ali Eslami
Aaron van den Oord
SSL
58
1,417
0
22 May 2019
Fine-grained Optimization of Deep Neural Networks
Fine-grained Optimization of Deep Neural Networks
Mete Ozay
ODL
16
1
0
22 May 2019
What Would You Expect? Anticipating Egocentric Actions with
  Rolling-Unrolling LSTMs and Modality Attention
What Would You Expect? Anticipating Egocentric Actions with Rolling-Unrolling LSTMs and Modality Attention
Antonino Furnari
G. Farinella
EgoV
27
171
0
22 May 2019
Learning to Confuse: Generating Training Time Adversarial Data with
  Auto-Encoder
Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder
Ji Feng
Qi-Zhi Cai
Zhi-Hua Zhou
AAML
19
104
0
22 May 2019
LapTool-Net: A Contextual Detector of Surgical Tools in Laparoscopic
  Videos Based on Recurrent Convolutional Neural Networks
LapTool-Net: A Contextual Detector of Surgical Tools in Laparoscopic Videos Based on Recurrent Convolutional Neural Networks
Babak Namazi
G. Sankaranarayanan
V. Devarajan
35
13
0
22 May 2019
Semi-Supervised Learning with Scarce Annotations
Semi-Supervised Learning with Scarce Annotations
Sylvestre-Alvise Rebuffi
Sébastien Ehrhardt
Kai Han
Andrea Vedaldi
Andrew Zisserman
SSL
24
49
0
21 May 2019
Task Decomposition and Synchronization for Semantic Biomedical Image
  Segmentation
Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation
Xuhua Ren
Lichi Zhang
Sahar Ahmad
Dong Nie
Fan Yang
L. Xiang
Qian Wang
Dinggang Shen
19
26
0
21 May 2019
Lightweight Network Architecture for Real-Time Action Recognition
Lightweight Network Architecture for Real-Time Action Recognition
Alexander Kozlov
Vadim Andronov
Y. Gritsenko
ViT
25
33
0
21 May 2019
Unsupervised Linear and Nonlinear Channel Equalization and Decoding
  using Variational Autoencoders
Unsupervised Linear and Nonlinear Channel Equalization and Decoding using Variational Autoencoders
Avi Caciularu
D. Burshtein
20
48
0
21 May 2019
Previous
123...462463464...542543544
Next