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Rethinking the Inception Architecture for Computer Vision

Rethinking the Inception Architecture for Computer Vision

2 December 2015
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
    3DV
    BDL
ArXivPDFHTML

Papers citing "Rethinking the Inception Architecture for Computer Vision"

50 / 5,015 papers shown
Title
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
40
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
3
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
36
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
23
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
41
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
50
20
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
35
1
0
31 Jan 2024
Multilinear Operator Networks
Multilinear Operator Networks
Yixin Cheng
Grigorios G. Chrysos
Markos Georgopoulos
V. Cevher
37
7
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
39
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
36
4
0
31 Jan 2024
Reviving Undersampling for Long-Tailed Learning
Reviving Undersampling for Long-Tailed Learning
Hao Yu
Yingxiao Du
Jianxin Wu
40
1
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
PILM
ELM
26
108
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
36
13
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
35
6
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
42
3
0
29 Jan 2024
Generating Multi-Center Classifier via Conditional Gaussian Distribution
Generating Multi-Center Classifier via Conditional Gaussian Distribution
Zhemin Zhang
Xun Gong
33
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
38
0
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
35
32
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
38
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
47
5
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
33
2
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
10
18
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
39
14
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
38
3
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
47
7
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
32
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
32
5
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
45
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
31
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
31
13
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
Xunkai Li
Meihao Liao
Zhengyu Wu
Daohan Su
Wentao Zhang
Ronghua Li
Guoren Wang
AI4CE
48
8
0
22 Jan 2024
STICKERCONV: Generating Multimodal Empathetic Responses from Scratch
STICKERCONV: Generating Multimodal Empathetic Responses from Scratch
Yiqun Zhang
Fanheng Kong
Peidong Wang
Shuang Sun
Lingshuai Wang
Shi Feng
Daling Wang
Yifei Zhang
Kaisong Song
36
10
0
20 Jan 2024
Generalizing Speaker Verification for Spoof Awareness in the Embedding
  Space
Generalizing Speaker Verification for Spoof Awareness in the Embedding Space
Xuechen Liu
Md. Sahidullah
K. Lee
Tomi Kinnunen
AAML
47
7
0
20 Jan 2024
A Comprehensive Survey on Deep-Learning-based Vehicle Re-Identification:
  Models, Data Sets and Challenges
A Comprehensive Survey on Deep-Learning-based Vehicle Re-Identification: Models, Data Sets and Challenges
Ali Amiri
Aydin Kaya
A. Keçeli
VLM
37
4
0
19 Jan 2024
Polytopic Autoencoders with Smooth Clustering for Reduced-order
  Modelling of Flows
Polytopic Autoencoders with Smooth Clustering for Reduced-order Modelling of Flows
Jan Heiland
Yongho Kim
AI4CE
26
2
0
19 Jan 2024
A Volumetric Saliency Guided Image Summarization for RGB-D Indoor Scene
  Classification
A Volumetric Saliency Guided Image Summarization for RGB-D Indoor Scene Classification
Preeti Meena
Himanshu Kumar
Sandeep Yadav
3DH
40
2
0
19 Jan 2024
Towards Identifiable Unsupervised Domain Translation: A Diversified
  Distribution Matching Approach
Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach
Sagar Shrestha
Xiao Fu
27
3
0
18 Jan 2024
Efficient generative adversarial networks using linear
  additive-attention Transformers
Efficient generative adversarial networks using linear additive-attention Transformers
Emilio Morales-Juarez
Gibran Fuentes Pineda
44
3
0
17 Jan 2024
Exploring the Role of Convolutional Neural Networks (CNN) in Dental
  Radiography Segmentation: A Comprehensive Systematic Literature Review
Exploring the Role of Convolutional Neural Networks (CNN) in Dental Radiography Segmentation: A Comprehensive Systematic Literature Review
Walid Brahmi
Imen Jdey
Fadoua Drira
25
16
0
17 Jan 2024
Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image
  Synthesis
Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
Jonghyun Lee
Hansam Cho
Youngjoon Yoo
Seoung Bum Kim
Yonghyun Jeong
DiffM
23
7
0
17 Jan 2024
Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal
  Data
Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data
Yuhui Zhang
Elaine Sui
Serena Yeung-Levy
44
9
0
16 Jan 2024
Jewelry Recognition via Encoder-Decoder Models
Jewelry Recognition via Encoder-Decoder Models
José M. Alcalde-Llergo
Enrique Yeguas-Bolivar
Andrea Zingoni
Alejandro Fuerte-Jurado
38
0
0
15 Jan 2024
Towards A Better Metric for Text-to-Video Generation
Towards A Better Metric for Text-to-Video Generation
Jay Zhangjie Wu
Guian Fang
Haoning Wu
Xintao Wang
Yixiao Ge
...
Rui Zhao
Weisi Lin
Wynne Hsu
Ying Shan
Mike Zheng Shou
VGen
46
34
0
15 Jan 2024
Semantic Scene Segmentation for Robotics
Semantic Scene Segmentation for Robotics
Juana Valeria Hurtado
Abhinav Valada
VLM
SSeg
44
27
0
15 Jan 2024
Harnessing Deep Learning and Satellite Imagery for Post-Buyout Land
  Cover Mapping
Harnessing Deep Learning and Satellite Imagery for Post-Buyout Land Cover Mapping
Hakan T. Otal
Elyse M. Zavar
S. B. Binder
Alex Greer
M. A. Canbaz
AI4CE
19
1
0
15 Jan 2024
Discriminative Consensus Mining with A Thousand Groups for More Accurate
  Co-Salient Object Detection
Discriminative Consensus Mining with A Thousand Groups for More Accurate Co-Salient Object Detection
Peng Zheng
39
0
0
15 Jan 2024
Concrete Surface Crack Detection with Convolutional-based Deep Learning
  Models
Concrete Surface Crack Detection with Convolutional-based Deep Learning Models
Sara Shomal Zadeh
Sina Aalipour birgani
Meisam Khorshidi
Farhad Kooban
21
11
0
13 Jan 2024
Empowering Medical Imaging with Artificial Intelligence: A Review of
  Machine Learning Approaches for the Detection, and Segmentation of COVID-19
  Using Radiographic and Tomographic Images
Empowering Medical Imaging with Artificial Intelligence: A Review of Machine Learning Approaches for the Detection, and Segmentation of COVID-19 Using Radiographic and Tomographic Images
Sayed Amir Mousavi Mobarakeh
K. Kazemi
A. Aarabi
H. Danyali
37
2
0
13 Jan 2024
Machine Translation Models are Zero-Shot Detectors of Translation Direction
Machine Translation Models are Zero-Shot Detectors of Translation Direction
Michelle Wastl
Jannis Vamvas
Rico Sennrich
VLM
33
0
0
12 Jan 2024
PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed
  Circuit Boards
PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards
Elias Arbash
Margret Fuchs
Behnood Rasti
S. Lorenz
Pedram Ghamisi
R. Gloaguen
27
5
0
12 Jan 2024
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