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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 / 6,592 papers shown
Title
How Well Do Deep Learning Models Capture Human Concepts? The Case of the
  Typicality Effect
How Well Do Deep Learning Models Capture Human Concepts? The Case of the Typicality Effect
Siddhartha K. Vemuri
Raj Sanjay Shah
Sashank Varma
VLM
80
5
0
25 May 2024
Anomalous Change Point Detection Using Probabilistic Predictive Coding
Anomalous Change Point Detection Using Probabilistic Predictive Coding
Roelof G. Hup
Julian P Merkofer
A. Bhogal
Ruud J. G. van Sloun
R. Haakma
Rik Vullings
52
0
0
24 May 2024
The Road Less Scheduled
The Road Less Scheduled
Aaron Defazio
Xingyu Yang
Yang
Harsh Mehta
Konstantin Mishchenko
Ahmed Khaled
Ashok Cutkosky
120
60
0
24 May 2024
Generative Plant Growth Simulation from Sequence-Informed Environmental
  Conditions
Generative Plant Growth Simulation from Sequence-Informed Environmental Conditions
Mohamed Debbagh
Yixue Liu
Zhouzhou Zheng
Xintong Jiang
Shangpeng Sun
M. Lefsrud
25
0
0
23 May 2024
Fisher Flow Matching for Generative Modeling over Discrete Data
Fisher Flow Matching for Generative Modeling over Discrete Data
Oscar Davis
Samuel Kessler
Mircea Petrache
.Ismail .Ilkan Ceylan
Michael M. Bronstein
A. Bose
111
21
0
23 May 2024
Design Considerations for Automatic Musical Soundscapes of Visual Art
  for People with Blindness or Low Vision
Design Considerations for Automatic Musical Soundscapes of Visual Art for People with Blindness or Low Vision
S. Krol
Maria Teresa Llano
Matthew Butler
Cagatay Goncu
61
0
0
23 May 2024
A Structure-Aware Framework for Learning Device Placements on Computation Graphs
A Structure-Aware Framework for Learning Device Placements on Computation Graphs
Shukai Duan
Heng Ping
Nikos Kanakaris
Xiongye Xiao
Panagiotis Kyriakis
...
Guixiang Ma
Mihai Capota
Shahin Nazarian
Theodore L. Willke
Paul Bogdan
115
5
0
23 May 2024
Configuring Data Augmentations to Reduce Variance Shift in Positional
  Embedding of Vision Transformers
Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers
Bum Jun Kim
Sang Woo Kim
ViT
61
1
0
23 May 2024
GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
Xinyi Shang
Peng Sun
Tao Lin
111
3
0
23 May 2024
Diffusion models for Gaussian distributions: Exact solutions and Wasserstein errors
Diffusion models for Gaussian distributions: Exact solutions and Wasserstein errors
Émile Pierret
Bruno Galerne
DiffM
100
3
0
23 May 2024
Animal Behavior Analysis Methods Using Deep Learning: A Survey
Animal Behavior Analysis Methods Using Deep Learning: A Survey
Edoardo Fazzari
Donato Romano
Fabrizio Falchi
Cesare Stefanini
79
6
0
22 May 2024
Perceptual Fairness in Image Restoration
Perceptual Fairness in Image Restoration
Guy Ohayon
Michael Elad
T. Michaeli
SupR
72
2
0
22 May 2024
MetaEarth: A Generative Foundation Model for Global-Scale Remote Sensing
  Image Generation
MetaEarth: A Generative Foundation Model for Global-Scale Remote Sensing Image Generation
Zhiping Yu
Chenyang Liu
Liqin Liu
Z. Shi
Zhengxia Zou
VGen
69
16
0
22 May 2024
Towards Certification of Uncertainty Calibration under Adversarial Attacks
Towards Certification of Uncertainty Calibration under Adversarial Attacks
Cornelius Emde
Francesco Pinto
Thomas Lukasiewicz
Philip Torr
Adel Bibi
AAML
122
1
0
22 May 2024
KPConvX: Modernizing Kernel Point Convolution with Kernel Attention
KPConvX: Modernizing Kernel Point Convolution with Kernel Attention
Hugues Thomas
Yao-Hung Tsai
Tim D. Barfoot
Jian Zhang
3DPC
75
10
0
21 May 2024
An Empirical Study and Analysis of Text-to-Image Generation Using Large
  Language Model-Powered Textual Representation
An Empirical Study and Analysis of Text-to-Image Generation Using Large Language Model-Powered Textual Representation
Zhiyu Tan
Mengping Yang
Luozheng Qin
Hao Yang
Ye Qian
Qiang-feng Zhou
Cheng Zhang
Hao Li
108
6
0
21 May 2024
FAdam: Adam is a natural gradient optimizer using diagonal empirical
  Fisher information
FAdam: Adam is a natural gradient optimizer using diagonal empirical Fisher information
Dongseong Hwang
ODL
93
8
0
21 May 2024
A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data
A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data
Xinyi Wang
Grazziela Figueredo
Ruizhe Li
Wei Emma Zhang
Weitong Chen
Xin Chen
MedImViT
112
2
0
21 May 2024
Data Augmentation for Text-based Person Retrieval Using Large Language
  Models
Data Augmentation for Text-based Person Retrieval Using Large Language Models
Zheng Li
Lijia Si
Caili Guo
Yang Yang
Qiushi Cao
78
4
0
20 May 2024
Evolving Storytelling: Benchmarks and Methods for New Character
  Customization with Diffusion Models
Evolving Storytelling: Benchmarks and Methods for New Character Customization with Diffusion Models
Xiyu Wang
Yufei Wang
Satoshi Tsutsui
Weisi Lin
Bihan Wen
Alex C. Kot
112
6
0
20 May 2024
Deep Ensemble Art Style Recognition
Deep Ensemble Art Style Recognition
Orfeas Menis Mastromichalakis
Natasa Sofou
Giorgos Stamou
3DPC
61
11
0
19 May 2024
SBAAM! Eliminating Transcript Dependency in Automatic Subtitling
SBAAM! Eliminating Transcript Dependency in Automatic Subtitling
Marco Gaido
Sara Papi
Matteo Negri
Mauro Cettolo
L. Bentivogli
86
1
0
17 May 2024
From Sora What We Can See: A Survey of Text-to-Video Generation
From Sora What We Can See: A Survey of Text-to-Video Generation
Rui Sun
Yumin Zhang
Tejal Shah
Jiahao Sun
Shuoying Zhang
Wenqi Li
Haoran Duan
Bo Wei
R. Ranjan
EGVM
131
20
0
17 May 2024
A Novel Bounding Box Regression Method for Single Object Tracking
A Novel Bounding Box Regression Method for Single Object Tracking
Omar Abdelaziz
Mohamed Shehata
135
1
0
16 May 2024
LaT-PFN: A Joint Embedding Predictive Architecture for In-context
  Time-series Forecasting
LaT-PFN: A Joint Embedding Predictive Architecture for In-context Time-series Forecasting
Stijn Verdenius
Andrea Zerio
Roy L.M. Wang
BDLAI4TSAI4CE
114
4
0
16 May 2024
LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for
  Remote Sensing Image Interpretation
LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation
Wentao Jiang
Jing Zhang
Di Wang
Qiming Zhang
Zengmao Wang
Bo Du
77
5
0
16 May 2024
FolkTalent: Enhancing Classification and Tagging of Indian Folk
  Paintings
FolkTalent: Enhancing Classification and Tagging of Indian Folk Paintings
Nancy Hada
Aditya Singh
Kavita Vemuri
91
0
0
14 May 2024
EfficientTrain++: Generalized Curriculum Learning for Efficient Visual
  Backbone Training
EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training
Yulin Wang
Yang Yue
Rui Lu
Yizeng Han
Shiji Song
Gao Huang
VLM
114
12
0
14 May 2024
MambaOut: Do We Really Need Mamba for Vision?
MambaOut: Do We Really Need Mamba for Vision?
Weihao Yu
Xinchao Wang
Mamba
99
59
0
13 May 2024
AIris: An AI-powered Wearable Assistive Device for the Visually Impaired
AIris: An AI-powered Wearable Assistive Device for the Visually Impaired
Dionysia Danai Brilli
Evangelos Georgaras
Stefania Tsilivaki
Nikos Melanitis
Konstantina S. Nikita
29
1
0
13 May 2024
Incorporating Anatomical Awareness for Enhanced Generalizability and
  Progression Prediction in Deep Learning-Based Radiographic Sacroiliitis
  Detection
Incorporating Anatomical Awareness for Enhanced Generalizability and Progression Prediction in Deep Learning-Based Radiographic Sacroiliitis Detection
Felix J. Dorfner
J. Vahldiek
Leonhard Donle
Andrei Zhukov
Lina Xu
...
T. Diekhoff
M. Torgutalp
Lisa Christine Adams
Denis Poddubnyy
Keno K. Bressem
AI4CE
124
1
0
12 May 2024
Explainable Convolutional Neural Networks for Retinal Fundus
  Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels
  from Fundus Images
Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images
Mukaffi Bin Moin
Mohammad Shafiul Alam
Pronay Debnath
Asif Iftekher Fahim
Faisal Muhammad Shah
62
8
0
12 May 2024
AraSpell: A Deep Learning Approach for Arabic Spelling Correction
AraSpell: A Deep Learning Approach for Arabic Spelling Correction
Mahmoud Salhab
Faisal Abu-Khzam
72
7
0
11 May 2024
KeepOriginalAugment: Single Image-based Better Information-Preserving
  Data Augmentation Approach
KeepOriginalAugment: Single Image-based Better Information-Preserving Data Augmentation Approach
Teerath Kumar
Alessandra Mileo
Malika Bendechache
AAML
64
4
0
10 May 2024
Robust and Explainable Fine-Grained Visual Classification with Transfer
  Learning: A Dual-Carriageway Framework
Robust and Explainable Fine-Grained Visual Classification with Transfer Learning: A Dual-Carriageway Framework
Zheming Zuo
Joseph Smith
Jonathan Stonehouse
Boguslaw Obara
88
2
0
09 May 2024
A Survey on Personalized Content Synthesis with Diffusion Models
A Survey on Personalized Content Synthesis with Diffusion Models
Xu-Lu Zhang
Xiao Wei
Wengyu Zhang
Jinlin Wu
Jiaxin Wu
Zhen Lei
Zhaoxiang Zhang
Zhen Lei
Qing Li
EGVM
219
22
0
09 May 2024
BenthicNet: A global compilation of seafloor images for deep learning applications
BenthicNet: A global compilation of seafloor images for deep learning applications
Scott C. Lowe
B. Misiuk
Isaac Xu
Shakhboz Abdulazizov
A. R. Baroi
...
Jordan A. Thomson
Brittany R. Wilson
Melisa C. Wong
Craig J. Brown
Thomas Trappenberg
106
4
0
08 May 2024
Exploring Explainable AI Techniques for Improved Interpretability in
  Lung and Colon Cancer Classification
Exploring Explainable AI Techniques for Improved Interpretability in Lung and Colon Cancer Classification
Mohammad Shafiul Alam
Mukaffi Bin Moin
Swarnajit Saha
Bushra Kamal Rafa
Fatema Tuj Johora Faria
50
4
0
07 May 2024
Towards Geographic Inclusion in the Evaluation of Text-to-Image Models
Towards Geographic Inclusion in the Evaluation of Text-to-Image Models
Melissa Hall
Samuel J. Bell
Candace Ross
Adina Williams
M. Drozdzal
Adriana Romero Soriano
EGVM
66
5
0
07 May 2024
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text
  Classification via Anchor Generation and Classification Reframing
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing
Han Liu
Siyang Zhao
Xiaotong Zhang
Feng Zhang
Wei Wang
Fenglong Ma
Hongyang Chen
Hong Yu
Xianchao Zhang
VLM
42
3
0
06 May 2024
Embedded Distributed Inference of Deep Neural Networks: A Systematic
  Review
Embedded Distributed Inference of Deep Neural Networks: A Systematic Review
Federico Nicolás Peccia
Oliver Bringmann
90
0
0
06 May 2024
Video Diffusion Models: A Survey
Video Diffusion Models: A Survey
Andrew Melnik
Michal Ljubljanac
Cong Lu
Qi Yan
Weiming Ren
Helge J. Ritter
VGen
145
16
0
06 May 2024
Onboard Out-of-Calibration Detection of Deep Learning Models using
  Conformal Prediction
Onboard Out-of-Calibration Detection of Deep Learning Models using Conformal Prediction
Protim Bhattacharjee
Peter Jung
58
0
0
04 May 2024
A Survey of Few-Shot Learning for Biomedical Time Series
A Survey of Few-Shot Learning for Biomedical Time Series
Chenqi Li
Timothy Denison
Tingting Zhu
90
1
0
03 May 2024
Potential Energy based Mixture Model for Noisy Label Learning
Potential Energy based Mixture Model for Noisy Label Learning
Zijia Wang
Wenbin Yang
Zhisong Liu
Zhen Jia
NoLa
53
0
0
02 May 2024
UniGen: Universal Domain Generalization for Sentiment Classification via
  Zero-shot Dataset Generation
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation
Juhwan Choi
Yeonghwa Kim
Seunguk Yu
Jungmin Yun
Youngbin Kim
86
3
0
02 May 2024
CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation
CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation
Chenying Liu
C. Albrecht
Yi Wang
Xiao Xiang Zhu
243
3
0
02 May 2024
Grains of Saliency: Optimizing Saliency-based Training of Biometric
  Attack Detection Models
Grains of Saliency: Optimizing Saliency-based Training of Biometric Attack Detection Models
Colton R. Crum
Samuel Webster
Adam Czajka
AAMLCVBM
74
2
0
01 May 2024
Lazy Layers to Make Fine-Tuned Diffusion Models More Traceable
Lazy Layers to Make Fine-Tuned Diffusion Models More Traceable
Haozhe Liu
Wentian Zhang
Bing Li
Bernard Ghanem
Jürgen Schmidhuber
DiffMWIGMAAML
81
1
0
01 May 2024
Automatic Cardiac Pathology Recognition in Echocardiography Images Using
  Higher Order Dynamic Mode Decomposition and a Vision Transformer for Small
  Datasets
Automatic Cardiac Pathology Recognition in Echocardiography Images Using Higher Order Dynamic Mode Decomposition and a Vision Transformer for Small Datasets
Andrés Bell-Navas
N. Groun
M. Villalba-Orero
Enrique Lara Pezzi
J. Garicano-Mena
S. L. Clainche
ViT
42
5
0
30 Apr 2024
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