v1v2v3 (latest)

Rethinking the Inception Architecture for Computer Vision

2 December 2015

Sergey Ioffe

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 Muthuraman Chidambaram Rong Ge AAML 114 0 0 10 Feb 2024
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 Jongmin Yoon Juho Lee 60 0 0 09 Feb 2024
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 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 Juhwan Choi Kyohoon Jin Junho Lee Sangmin Song Youngbin Kim 52 1 0 08 Feb 2024
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 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 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 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 Darshana Saravanan Naresh Manwani Vineet Gandhi 102 0 0 07 Feb 2024
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 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 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 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 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 Li Guo George Andriopoulos Zifan Zhao Shuyang Ling Shuyang Ling Keith Ross UQCV NoLa 82 9 0 06 Feb 2024
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 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 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 Elham Sadeghnezhad Sajjad Salem 33 4 0 03 Feb 2024
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 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 Yan Meng Christof Monz LRM 77 2 0 01 Feb 2024
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 Shuguang Dou Xiangyang Jiang Yuanpeng Tu Junyao Gao Zefan Qu Qingsong Zhao Cairong Zhao 87 1 0 31 Jan 2024
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 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 Hao Yu Yingxiao Du Jianxin Wu 83 2 0 30 Jan 2024
Security and Privacy Challenges of Large Language Models: A Survey B. Das M. H. Amini Yanzhao Wu PILM ELM 130 145 0 30 Jan 2024
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 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 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 Minoh Jeong Martina Cardone Alex Dytso 63 1 0 27 Jan 2024
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 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 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 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 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 Letian Fu Long Lian Renhao Wang Baifeng Shi Xudong Wang Adam Yala Trevor Darrell Alexei A. Efros Ken Goldberg 144 17 0 25 Jan 2024
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 Marc Härkönen Samuel J. Broughton Lahiru Samarakoon 109 9 0 23 Jan 2024
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 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 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 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 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 Miao Hu Meihao Liao Zhengyu Wu Daohan Su Wentao Zhang Ronghua Li Guoren Wang AI4CE 89 8 0 22 Jan 2024