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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 / 27,828 papers shown
Title
MAF: Multimodal Alignment Framework for Weakly-Supervised Phrase
  Grounding
MAF: Multimodal Alignment Framework for Weakly-Supervised Phrase Grounding
Qinxin Wang
Hao Tan
Sheng Shen
Michael W. Mahoney
Z. Yao
ObjD
50
11
0
12 Oct 2020
H2O-Net: Self-Supervised Flood Segmentation via Adversarial Domain
  Adaptation and Label Refinement
H2O-Net: Self-Supervised Flood Segmentation via Adversarial Domain Adaptation and Label Refinement
Peri Akiva
Matthew Purri
Kristin J. Dana
B. Tellman
Tyler Anderson
25
25
0
11 Oct 2020
Boosting Continuous Sign Language Recognition via Cross Modality
  Augmentation
Boosting Continuous Sign Language Recognition via Cross Modality Augmentation
Junfu Pu
Wen-gang Zhou
Hezhen Hu
Houqiang Li
43
108
0
11 Oct 2020
Partial FC: Training 10 Million Identities on a Single Machine
Partial FC: Training 10 Million Identities on a Single Machine
Xiang An
Xuhan Zhu
Yanghua Xiao
Lan Wu
Ming Zhang
Yuan Gao
Bin Qin
Debing Zhang
Ying Fu
CVBM
60
214
0
11 Oct 2020
Generalized Few-shot Semantic Segmentation
Generalized Few-shot Semantic Segmentation
Zhuotao Tian
Xin Lai
Li Jiang
Shu Liu
Michelle Shu
Hengshuang Zhao
Jiaya Jia
VLM
27
81
0
11 Oct 2020
SDMTL: Semi-Decoupled Multi-grained Trajectory Learning for 3D human
  motion prediction
SDMTL: Semi-Decoupled Multi-grained Trajectory Learning for 3D human motion prediction
Xiaoli Liu
Jianqin Yin
3DH
33
3
0
11 Oct 2020
Contrastive Representation Learning: A Framework and Review
Contrastive Representation Learning: A Framework and Review
Phúc H. Lê Khắc
Graham Healy
Alan F. Smeaton
SSL
AI4TS
189
687
0
10 Oct 2020
AEGD: Adaptive Gradient Descent with Energy
AEGD: Adaptive Gradient Descent with Energy
Hailiang Liu
Xuping Tian
ODL
27
11
0
10 Oct 2020
Adaptive Aggregation Networks for Class-Incremental Learning
Adaptive Aggregation Networks for Class-Incremental Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
CLL
30
215
0
10 Oct 2020
Automated Concatenation of Embeddings for Structured Prediction
Automated Concatenation of Embeddings for Structured Prediction
Xinyu Wang
Yong-jia Jiang
Nguyen Bach
Tao Wang
Zhongqiang Huang
Fei Huang
Kewei Tu
37
172
0
10 Oct 2020
Block-term Tensor Neural Networks
Block-term Tensor Neural Networks
Jinmian Ye
Guangxi Li
Di Chen
Haiqin Yang
Shandian Zhe
Zenglin Xu
29
30
0
10 Oct 2020
Accelerating Finite-temperature Kohn-Sham Density Functional Theory with
  Deep Neural Networks
Accelerating Finite-temperature Kohn-Sham Density Functional Theory with Deep Neural Networks
J. Ellis
Lenz Fiedler
G. Popoola
N. Modine
J. A. Stephens
A. Thompson
A. Cangi
S. Rajamanickam
AI4CE
32
40
0
10 Oct 2020
What Do Position Embeddings Learn? An Empirical Study of Pre-Trained
  Language Model Positional Encoding
What Do Position Embeddings Learn? An Empirical Study of Pre-Trained Language Model Positional Encoding
Yu-An Wang
Yun-Nung Chen
SSL
15
94
0
10 Oct 2020
ByzShield: An Efficient and Robust System for Distributed Training
ByzShield: An Efficient and Robust System for Distributed Training
Konstantinos Konstantinidis
A. Ramamoorthy
AAML
FedML
32
11
0
10 Oct 2020
Deep Active Learning for Joint Classification & Segmentation with Weak
  Annotator
Deep Active Learning for Joint Classification & Segmentation with Weak Annotator
Soufiane Belharbi
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
VLM
23
30
0
10 Oct 2020
Training Binary Neural Networks through Learning with Noisy Supervision
Training Binary Neural Networks through Learning with Noisy Supervision
Kai Han
Yunhe Wang
Yixing Xu
Chunjing Xu
Enhua Wu
Chang Xu
MQ
15
55
0
10 Oct 2020
How Does Mixup Help With Robustness and Generalization?
How Does Mixup Help With Robustness and Generalization?
Linjun Zhang
Zhun Deng
Kenji Kawaguchi
Amirata Ghorbani
James Zou
AAML
47
244
0
09 Oct 2020
PathoNet: Deep learning assisted evaluation of Ki-67 and tumor
  infiltrating lymphocytes (TILs) as prognostic factors in breast cancer; A
  large dataset and baseline
PathoNet: Deep learning assisted evaluation of Ki-67 and tumor infiltrating lymphocytes (TILs) as prognostic factors in breast cancer; A large dataset and baseline
Farzin Negahbani
Rasool Sabzi
Bita Pakniyat Jahromi
F. Movahedi
Mahsa Kohandel Shirazi
Shayan Majidi
Dena Firouzabadi
Amirreza Dehganian
29
1
0
09 Oct 2020
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image
  Classification
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification
Oren Nuriel
Sagie Benaim
Lior Wolf
30
88
0
09 Oct 2020
Contrastive Learning with Hard Negative Samples
Contrastive Learning with Hard Negative Samples
Joshua Robinson
Ching-Yao Chuang
S. Sra
Stefanie Jegelka
SSL
75
759
0
09 Oct 2020
Background Learnable Cascade for Zero-Shot Object Detection
Background Learnable Cascade for Zero-Shot Object Detection
Ye Zheng
Ruoran Huang
Chuanqi Han
Xi Huang
Li Cui
ObjD
21
48
0
09 Oct 2020
Real-time Mask Detection on Google Edge TPU
Real-time Mask Detection on Google Edge TPU
Keondo Park
Won Jang
Woochul Lee
K. Nam
Kihong Seong
Kyuwook Chai
Wen-Syan Li
21
13
0
09 Oct 2020
Once Quantization-Aware Training: High Performance Extremely Low-bit
  Architecture Search
Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search
Mingzhu Shen
Feng Liang
Ruihao Gong
Yuhang Li
Chuming Li
Chen Lin
F. Yu
Junjie Yan
Wanli Ouyang
MQ
36
36
0
09 Oct 2020
Deep Adversarial Domain Adaptation Based on Multi-layer Joint Kernelized
  Distance
Deep Adversarial Domain Adaptation Based on Multi-layer Joint Kernelized Distance
Sitong Mao
Jiaxin Chen
X. Shen
F. Chung
TTA
27
0
0
09 Oct 2020
Gaussian MRF Covariance Modeling for Efficient Black-Box Adversarial
  Attacks
Gaussian MRF Covariance Modeling for Efficient Black-Box Adversarial Attacks
Anit Kumar Sahu
Satya Narayan Shukla
J. Zico Kolter
AAML
14
1
0
08 Oct 2020
Automating Inference of Binary Microlensing Events with Neural Density
  Estimation
Automating Inference of Binary Microlensing Events with Neural Density Estimation
Keming 名 Zhang 张 可
J. Bloom
B. Gaudi
F. Lanusse
C. Lam
Jessica R. Lu
11
1
0
08 Oct 2020
Set Prediction without Imposing Structure as Conditional Density
  Estimation
Set Prediction without Imposing Structure as Conditional Density Estimation
David W. Zhang
Gertjan J. Burghouts
Cees G. M. Snoek
51
17
0
08 Oct 2020
Knowledge-Enriched Distributional Model Inversion Attacks
Knowledge-Enriched Distributional Model Inversion Attacks
Si-An Chen
Mostafa Kahla
R. Jia
Guo-Jun Qi
24
93
0
08 Oct 2020
A Unified Approach to Interpreting and Boosting Adversarial
  Transferability
A Unified Approach to Interpreting and Boosting Adversarial Transferability
Xin Eric Wang
Jie Ren
Shuyu Lin
Xiangming Zhu
Yisen Wang
Quanshi Zhang
AAML
34
94
0
08 Oct 2020
Spatially-Variant CNN-based Point Spread Function Estimation for Blind
  Deconvolution and Depth Estimation in Optical Microscopy
Spatially-Variant CNN-based Point Spread Function Estimation for Blind Deconvolution and Depth Estimation in Optical Microscopy
Adrian Shajkofci
M. Liebling
25
43
0
08 Oct 2020
Classification of Speech with and without Face Mask using Acoustic
  Features
Classification of Speech with and without Face Mask using Acoustic Features
Rohan Kumar Das
Haizhou Li
CVBM
6
7
0
08 Oct 2020
Two are Better than One: Joint Entity and Relation Extraction with
  Table-Sequence Encoders
Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders
Jue Wang
Wei Lu
28
225
0
08 Oct 2020
Improving Long-Tail Relation Extraction with Collaborating
  Relation-Augmented Attention
Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention
Yongqian Li
Tao Shen
Guodong Long
Jing Jiang
Dinesh Manocha
Chengqi Zhang
27
16
0
08 Oct 2020
Uncertainty in Neural Processes
Uncertainty in Neural Processes
Saeid Naderiparizi
Ke-Li Chiu
Benjamin Bloem-Reddy
Frank Wood
UQCV
BDL
AI4CE
13
4
0
08 Oct 2020
An Audio-Video Deep and Transfer Learning Framework for Multimodal
  Emotion Recognition in the wild
An Audio-Video Deep and Transfer Learning Framework for Multimodal Emotion Recognition in the wild
D. Dresvyanskiy
E. Ryumina
Heysem Kaya
M. Markitantov
A. Karpov
Wolfgang Minker
CVBM
17
17
0
07 Oct 2020
Representing Point Clouds with Generative Conditional Invertible Flow
  Networks
Representing Point Clouds with Generative Conditional Invertible Flow Networks
Michal Stypulkowski
Kacper Kania
M. Zamorski
Maciej Ziȩba
Tomasz Trzciñski
J. Chorowski
3DPC
34
4
0
07 Oct 2020
Uncovering the Limits of Adversarial Training against Norm-Bounded
  Adversarial Examples
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Sven Gowal
Chongli Qin
J. Uesato
Timothy A. Mann
Pushmeet Kohli
AAML
22
325
0
07 Oct 2020
High-Capacity Expert Binary Networks
High-Capacity Expert Binary Networks
Adrian Bulat
Brais Martínez
Georgios Tzimiropoulos
MQ
27
57
0
07 Oct 2020
Multi-label classification of promotions in digital leaflets using
  textual and visual information
Multi-label classification of promotions in digital leaflets using textual and visual information
R. Arroyo
David Jiménez-Cabello
Javier Martínez-Cebrián
27
3
0
07 Oct 2020
Exploring and Evaluating Attributes, Values, and Structures for Entity
  Alignment
Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment
Zhiyuan Liu
Yixin Cao
Liangming Pan
Juan-Zi Li
Zhiyuan Liu
Tat-Seng Chua
16
127
0
07 Oct 2020
Physical System for Non Time Sequence Data
Physical System for Non Time Sequence Data
Xiong Chen
CML
13
0
0
07 Oct 2020
M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia
  Screening from CT Imaging
M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging
Xuelin Qian
Huazhu Fu
Weiya Shi
Tao Chen
Yanwei Fu
F. Shan
Xiangyang Xue
38
51
0
07 Oct 2020
Computational analysis of pathological image enables interpretable
  prediction for microsatellite instability
Computational analysis of pathological image enables interpretable prediction for microsatellite instability
Jin Zhu
Wangwei Wu
Yuting Zhang
Shiyun Lin
Yukang Jiang
Rui-Feng Liu
Xueqin Wang
23
10
0
07 Oct 2020
DML-GANR: Deep Metric Learning With Generative Adversarial Network
  Regularization for High Spatial Resolution Remote Sensing Image Retrieval
DML-GANR: Deep Metric Learning With Generative Adversarial Network Regularization for High Spatial Resolution Remote Sensing Image Retrieval
Yun Cao
Yuebin Wang
Junhuan Peng
Liqiang Zhang
Linlin Xu
Kai Yan
Lihua Li
GAN
26
22
0
07 Oct 2020
Knowledge-aware Method for Confusing Charge Prediction
Knowledge-aware Method for Confusing Charge Prediction
Xiya Cheng
Sheng Bi
Guilin Qi
Yongzhen Wang
AILaw
13
4
0
07 Oct 2020
Contrastive Cross-Modal Pre-Training: A General Strategy for Small
  Sample Medical Imaging
Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging
G. Liang
Connor Greenwell
Yu Zhang
Xiaoqin Wang
Ramakanth Kavuluru
Nathan Jacobs
42
21
0
06 Oct 2020
Rotate to Attend: Convolutional Triplet Attention Module
Rotate to Attend: Convolutional Triplet Attention Module
Diganta Misra
Trikay Nalamada
Ajay Uppili Arasanipalai
Qibin Hou
ViT
3DPC
22
579
0
06 Oct 2020
Towards a Scalable and Distributed Infrastructure for Deep Learning
  Applications
Towards a Scalable and Distributed Infrastructure for Deep Learning Applications
Bita Hasheminezhad
S. Shirzad
Nanmiao Wu
Patrick Diehl
Hannes Schulz
Hartmut Kaiser
GNN
AI4CE
32
4
0
06 Oct 2020
Plug and Play Autoencoders for Conditional Text Generation
Plug and Play Autoencoders for Conditional Text Generation
Florian Mai
Nikolaos Pappas
Ivan Montero
Noah A. Smith
U. Washington
35
36
0
06 Oct 2020
Deep Representation Learning of Patient Data from Electronic Health
  Records (EHR): A Systematic Review
Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review
Yuqi Si
Jingcheng Du
Zhao Li
Xiaoqian Jiang
T. Miller
Fei Wang
W. J. Zheng
Kirk Roberts
OOD
21
154
0
06 Oct 2020
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