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Rethinking the Inception Architecture for Computer Vision
v1v2v3 (latest)

Rethinking the Inception Architecture for Computer Vision

2 December 2015
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
    3DVBDL
ArXiv (abs)PDFHTML

Papers citing "Rethinking the Inception Architecture for Computer Vision"

50 / 6,607 papers shown
Title
For Better or For Worse? Learning Minimum Variance Features With Label Augmentation
For Better or For Worse? Learning Minimum Variance Features With Label Augmentation
Muthuraman Chidambaram
Rong Ge
AAML
114
0
0
10 Feb 2024
Transfer learning with generative models for object detection on limited
  datasets
Transfer learning with generative models for object detection on limited datasets
Matteo Paiano
Stefano Martina
Carlotta Giannelli
Filippo Caruso
69
5
0
09 Feb 2024
Sequential Flow Straightening for Generative Modeling
Sequential Flow Straightening for Generative Modeling
Jongmin Yoon
Juho Lee
60
0
0
09 Feb 2024
Collaborative Control for Geometry-Conditioned PBR Image Generation
Collaborative Control for Geometry-Conditioned PBR Image Generation
Shimon Vainer
Mark Boss
Mathias Parger
Konstantin Kutsy
Dante De Nigris
Ciara Rowles
Nicolas Perony
Simon Donné
DiffM
65
13
0
08 Feb 2024
SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels
SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels
Juhwan Choi
Kyohoon Jin
Junho Lee
Sang-hyŏn Song
Youngbin Kim
72
6
0
08 Feb 2024
AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods
  in Low-resource Regimes
AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes
Juhwan Choi
Kyohoon Jin
Junho Lee
Sangmin Song
Youngbin Kim
52
1
0
08 Feb 2024
GPTs Are Multilingual Annotators for Sequence Generation Tasks
GPTs Are Multilingual Annotators for Sequence Generation Tasks
Juhwan Choi
Eunju Lee
Kyohoon Jin
Youngbin Kim
66
11
0
08 Feb 2024
Blue noise for diffusion models
Blue noise for diffusion models
Xingchang Huang
Corentin Salaün
C. N. Vasconcelos
Christian Theobalt
Cengiz Öztireli
Gurprit Singh
DiffM
89
11
0
07 Feb 2024
A Lightweight Inception Boosted U-Net Neural Network for Routability
  Prediction
A Lightweight Inception Boosted U-Net Neural Network for Routability Prediction
Hailiang Li
Yan Huo
Yan Wang
Xu Yang
Miaohui Hao
Xiao Wang
112
2
0
07 Feb 2024
Troublemaker Learning for Low-Light Image Enhancement
Troublemaker Learning for Low-Light Image Enhancement
Yinghao Song
Zhiyuan Cao
Wanhong Xiang
Sifan Long
Bo Yang
H. Ge
Yanchun Liang
Chunguo Wu
73
0
0
07 Feb 2024
Pseudo-labelling meets Label Smoothing for Noisy Partial Label Learning
Pseudo-labelling meets Label Smoothing for Noisy Partial Label Learning
Darshana Saravanan
Naresh Manwani
Vineet Gandhi
102
0
0
07 Feb 2024
Linear-time Minimum Bayes Risk Decoding with Reference Aggregation
Linear-time Minimum Bayes Risk Decoding with Reference Aggregation
Jannis Vamvas
Rico Sennrich
115
17
0
06 Feb 2024
Improved Generalization of Weight Space Networks via Augmentations
Improved Generalization of Weight Space Networks via Augmentations
Aviv Shamsian
Aviv Navon
David W. Zhang
Yan Zhang
Ethan Fetaya
Gal Chechik
Haggai Maron
109
14
0
06 Feb 2024
Boosting Adversarial Transferability across Model Genus by
  Deformation-Constrained Warping
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping
Qinliang Lin
Cheng Luo
Zenghao Niu
Xilin He
Weicheng Xie
Yuanbo Hou
Linlin Shen
Siyang Song
AAML
103
13
0
06 Feb 2024
Deep Learning-Based Correction and Unmixing of Hyperspectral Images for
  Brain Tumor Surgery
Deep Learning-Based Correction and Unmixing of Hyperspectral Images for Brain Tumor Surgery
David G. Black
Jaidev Gill
Andrew Xie
Benoit Liquet
A. Di Ieva
Walter Stummer
E. Molina
MedIm
57
0
0
06 Feb 2024
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation
Pablo Lemos
Sammy N. Sharief
Nikolay Malkin
Laurence Perreault Levasseur
Y. Hezaveh
Laurence Perreault-Levasseur
Yashar Hezaveh
86
3
0
06 Feb 2024
Cross Entropy versus Label Smoothing: A Neural Collapse Perspective
Cross Entropy versus Label Smoothing: A Neural Collapse Perspective
Li Guo
George Andriopoulos
Zifan Zhao
Shuyang Ling
Shuyang Ling
Keith Ross
UQCVNoLa
82
9
0
06 Feb 2024
Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks
Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks
Yanbo Wang
Jian Liang
Ran He
AAML
71
5
0
05 Feb 2024
Survival and grade of the glioma prediction using transfer learning
Survival and grade of the glioma prediction using transfer learning
Santiago Valbuena Rubio
María Teresa García-Ordás
O. Olivera
H. Alaiz-Moretón
María-Inmaculada Gónzalez-Alonso
J. Benítez-Andrades
58
3
0
04 Feb 2024
NOAH: Learning Pairwise Object Category Attentions for Image
  Classification
NOAH: Learning Pairwise Object Category Attentions for Image Classification
Chao Li
Aojun Zhou
Anbang Yao
VLM
71
2
0
04 Feb 2024
InceptionCapsule: Inception-Resnet and CapsuleNet with self-attention
  for medical image Classification
InceptionCapsule: Inception-Resnet and CapsuleNet with self-attention for medical image Classification
Elham Sadeghnezhad
Sajjad Salem
33
4
0
03 Feb 2024
Closing the Gap in Human Behavior Analysis: A Pipeline for Synthesizing
  Trimodal Data
Closing the Gap in Human Behavior Analysis: A Pipeline for Synthesizing Trimodal Data
Christian Stippel
Thomas Heitzinger
Rafael Sterzinger
Martin Kampel
41
0
0
02 Feb 2024
Flexible Variational Information Bottleneck: Achieving Diverse
  Compression with a Single Training
Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single Training
Sota Kudo
N. Ono
Shigehiko Kanaya
Ming Huang
46
1
0
02 Feb 2024
Disentangling the Roles of Target-Side Transfer and Regularization in
  Multilingual Machine Translation
Disentangling the Roles of Target-Side Transfer and Regularization in Multilingual Machine Translation
Yan Meng
Christof Monz
LRM
77
2
0
01 Feb 2024
Lightweight Pixel Difference Networks for Efficient Visual
  Representation Learning
Lightweight Pixel Difference Networks for Efficient Visual Representation Learning
Z. Su
Jiehua Zhang
Longguang Wang
Hua Zhang
Zhen Liu
M. Pietikäinen
Li Liu
92
22
0
01 Feb 2024
DROP: Decouple Re-Identification and Human Parsing with Task-specific
  Features for Occluded Person Re-identification
DROP: Decouple Re-Identification and Human Parsing with Task-specific Features for Occluded Person Re-identification
Shuguang Dou
Xiangyang Jiang
Yuanpeng Tu
Junyao Gao
Zefan Qu
Qingsong Zhao
Cairong Zhao
87
1
0
31 Jan 2024
Multilinear Operator Networks
Multilinear Operator Networks
Yixin Cheng
Grigorios G. Chrysos
Markos Georgopoulos
Volkan Cevher
88
8
0
31 Jan 2024
HyperZ$\cdot$Z$\cdot$W Operator Connects Slow-Fast Networks for Full
  Context Interaction
HyperZ⋅\cdot⋅Z⋅\cdot⋅W Operator Connects Slow-Fast Networks for Full Context Interaction
Harvie Zhang
63
0
0
31 Jan 2024
EPSD: Early Pruning with Self-Distillation for Efficient Model
  Compression
EPSD: Early Pruning with Self-Distillation for Efficient Model Compression
Dong Chen
Ning Liu
Yichen Zhu
Zhengping Che
Rui Ma
Fachao Zhang
Xiaofeng Mou
Yi Chang
Jian Tang
67
4
0
31 Jan 2024
Reviving Undersampling for Long-Tailed Learning
Reviving Undersampling for Long-Tailed Learning
Hao Yu
Yingxiao Du
Jianxin Wu
83
2
0
30 Jan 2024
Security and Privacy Challenges of Large Language Models: A Survey
Security and Privacy Challenges of Large Language Models: A Survey
B. Das
M. H. Amini
Yanzhao Wu
PILMELM
130
145
0
30 Jan 2024
T3: Transparent Tracking & Triggering for Fine-grained Overlap of
  Compute & Collectives
T3: Transparent Tracking & Triggering for Fine-grained Overlap of Compute & Collectives
Suchita Pati
Shaizeen Aga
Mahzabeen Islam
Nuwan Jayasena
Matthew D. Sinclair
75
16
0
30 Jan 2024
Contributing Dimension Structure of Deep Feature for Coreset Selection
Contributing Dimension Structure of Deep Feature for Coreset Selection
Zhijing Wan
Zhixiang Wang
Yuran Wang
Zheng Wang
Hongyuan Zhu
Shiníchi Satoh
82
8
0
29 Jan 2024
CIMIL-CRC: a clinically-informed multiple instance learning framework
  for patient-level colorectal cancer molecular subtypes classification from
  H\&E stained images
CIMIL-CRC: a clinically-informed multiple instance learning framework for patient-level colorectal cancer molecular subtypes classification from H\&E stained images
Hadar Hezi
Matan Gelber
Alexander Balabanov
Y. Maruvka
Moti Freiman
108
5
0
29 Jan 2024
Generating Multi-Center Classifier via Conditional Gaussian Distribution
Generating Multi-Center Classifier via Conditional Gaussian Distribution
Zhemin Zhang
Xun Gong
65
0
0
29 Jan 2024
Data-Driven Estimation of the False Positive Rate of the Bayes Binary
  Classifier via Soft Labels
Data-Driven Estimation of the False Positive Rate of the Bayes Binary Classifier via Soft Labels
Minoh Jeong
Martina Cardone
Alex Dytso
63
1
0
27 Jan 2024
DeepGI: An Automated Approach for Gastrointestinal Tract Segmentation in
  MRI Scans
DeepGI: An Automated Approach for Gastrointestinal Tract Segmentation in MRI Scans
Ye Zhang
Yulu Gong
Dongji Cui
Xinrui Li
Xinyu Shen
79
33
0
27 Jan 2024
Additional Look into GAN-based Augmentation for Deep Learning COVID-19
  Image Classification
Additional Look into GAN-based Augmentation for Deep Learning COVID-19 Image Classification
Oleksandr Fedoruk
Konrad Klimaszewski
Aleksander Ogonowski
Michal Kruk
MedIm
90
5
0
26 Jan 2024
Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based
  Constraints
Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints
Balamurali Murugesan
Sukesh Adiga Vasudeva
Bingyuan Liu
H. Lombaert
Ismail Ben Ayed
Jose Dolz
UQCV
97
6
0
25 Jan 2024
Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement
Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement
Aaqib Saeed
Dimitris Spathis
Jungwoo Oh
Edward Choi
Ali Etemad
NoLa
68
3
0
25 Jan 2024
Deep Learning Innovations in Diagnosing Diabetic Retinopathy: The
  Potential of Transfer Learning and the DiaCNN Model
Deep Learning Innovations in Diagnosing Diabetic Retinopathy: The Potential of Transfer Learning and the DiaCNN Model
Mohamed R. Shoaib
Heba M. Emara
Jun Zhao
W. El-shafai
N. Soliman
Ahmed S. A. Mubarak
Osama A. Omer
F. El-Samie
Hamada Esmaiel
33
20
0
25 Jan 2024
Rethinking Patch Dependence for Masked Autoencoders
Rethinking Patch Dependence for Masked Autoencoders
Letian Fu
Long Lian
Renhao Wang
Baifeng Shi
Xudong Wang
Adam Yala
Trevor Darrell
Alexei A. Efros
Ken Goldberg
142
17
0
25 Jan 2024
Boosting the Transferability of Adversarial Examples via Local Mixup and
  Adaptive Step Size
Boosting the Transferability of Adversarial Examples via Local Mixup and Adaptive Step Size
Junlin Liu
Xinchen Lyu
AAML
65
4
0
24 Jan 2024
EEND-M2F: Masked-attention mask transformers for speaker diarization
EEND-M2F: Masked-attention mask transformers for speaker diarization
Marc Härkönen
Samuel J. Broughton
Lahiru Samarakoon
109
9
0
23 Jan 2024
A Precise Characterization of SGD Stability Using Loss Surface Geometry
A Precise Characterization of SGD Stability Using Loss Surface Geometry
Gregory Dexter
Borja Ocejo
S. Keerthi
Aman Gupta
Ayan Acharya
Rajiv Khanna
MLT
85
0
0
22 Jan 2024
Automated facial recognition system using deep learning for pain
  assessment in adults with cerebral palsy
Automated facial recognition system using deep learning for pain assessment in adults with cerebral palsy
Álvaro Sabater-Gárriz
F. X. Gaya-Morey
Jose Maria Buades Rubio
Cristina Manresa-Yee
Pedro Montoya
I. Riquelme
CVBM
52
7
0
22 Jan 2024
Assessing the Efficacy of Deep Learning Approaches for Facial Expression
  Recognition in Individuals with Intellectual Disabilities
Assessing the Efficacy of Deep Learning Approaches for Facial Expression Recognition in Individuals with Intellectual Disabilities
F. X. Gaya-Morey
Silvia Ramis
Jose Maria Buades Rubio
Cristina Manresa-Yee
51
0
0
22 Jan 2024
Unveiling the Human-like Similarities of Automatic Facial Expression
  Recognition: An Empirical Exploration through Explainable AI
Unveiling the Human-like Similarities of Automatic Facial Expression Recognition: An Empirical Exploration through Explainable AI
F. X. Gaya-Morey
S. Ramis-Guarinos
Cristina Manresa-Yee
Jose Maria Buades Rubio
CVBM
61
3
0
22 Jan 2024
Deep Learning for Computer Vision based Activity Recognition and Fall
  Detection of the Elderly: a Systematic Review
Deep Learning for Computer Vision based Activity Recognition and Fall Detection of the Elderly: a Systematic Review
F. X. Gaya-Morey
Cristina Manresa-Yee
Jose Maria Buades Rubio
76
17
0
22 Jan 2024
LightDiC: A Simple yet Effective Approach for Large-scale Digraph
  Representation Learning
LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning
Miao Hu
Meihao Liao
Zhengyu Wu
Daohan Su
Wentao Zhang
Ronghua Li
Guoren Wang
AI4CE
89
8
0
22 Jan 2024
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