Rethinking the Inception Architecture for Computer Vision

2 December 2015

Sergey Ioffe

Papers citing "Rethinking the Inception Architecture for Computer Vision"

50 / 5,015 papers shown

Title
The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling Jiajun Ma Shuchen Xue Tianyang Hu Wei Cao Zhaoqiang Liu Zhenguo Li Zhi-Ming Ma Kenji Kawaguchi 50 5 0 23 Feb 2024
SoK: Analyzing Adversarial Examples: A Framework to Study Adversary Knowledge L. Fenaux Florian Kerschbaum AAML 47 0 0 22 Feb 2024
Two-stage Cytopathological Image Synthesis for Augmenting Cervical Abnormality Screening Zhenrong Shen Manman Fei Xin Wang Jiangdong Cai Sheng Wang Lichi Zhang Qian Wang MedIm 49 0 0 22 Feb 2024
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion Zijun Long George Killick Lipeng Zhuang Gerardo Aragon Camarasa Zaiqiao Meng R. McCreadie VLM 50 2 0 22 Feb 2024
T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching Zizheng Pan Bohan Zhuang De-An Huang Weili Nie Zhiding Yu Chaowei Xiao Jianfei Cai A. Anandkumar 41 17 0 21 Feb 2024
SDXL-Lightning: Progressive Adversarial Diffusion Distillation Shanchuan Lin Anran Wang Xiao Yang 42 119 0 21 Feb 2024
MSTAR: Multi-Scale Backbone Architecture Search for Timeseries Classification Tue Cao N.H. Tran Hieu H. Pham Hung T. Nguyen Le P. Nguyen 45 0 0 21 Feb 2024
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information Chien-Yao Wang I-Hau Yeh Hongpeng Liao 62 1,169 0 21 Feb 2024
EMO-SUPERB: An In-depth Look at Speech Emotion Recognition Haibin Wu Huang-Cheng Chou Kai-Wei Chang Lucas Goncalves Jiawei Du Jyh-Shing Roger Jang Chi-Chun Lee Hung-Yi Lee 41 11 0 20 Feb 2024
PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images Jinsung Jeon Hyundong Jin Jonghyun Choi Sanghyun Hong Dongeun Lee Kookjin Lee Noseong Park 45 0 0 20 Feb 2024
Thermometer: Towards Universal Calibration for Large Language Models Maohao Shen Subhro Das Kristjan Greenewald P. Sattigeri Greg Wornell Soumya Ghosh 72 10 0 20 Feb 2024
Improving Deep Generative Models on Many-To-One Image-to-Image Translation Sagar Saxena Mohammad Nayeem Teli GAN DiffM VLM 24 0 0 19 Feb 2024
Stealing the Invisible: Unveiling Pre-Trained CNN Models through Adversarial Examples and Timing Side-Channels Shubhi Shukla Manaar Alam Pabitra Mitra Debdeep Mukhopadhyay MLAU AAML 42 1 0 19 Feb 2024
A real-time Artificial Intelligence system for learning Sign Language Elisa Cabana 43 0 0 19 Feb 2024
Challenging the Black Box: A Comprehensive Evaluation of Attribution Maps of CNN Applications in Agriculture and Forestry Lars Nieradzik Henrike Stephani Jördis Sieburg-Rockel Stephanie Helmling Andrea Olbrich Janis Keuper FAtt 60 3 0 18 Feb 2024
FViT: A Focal Vision Transformer with Gabor Filter Yulong Shi Mingwei Sun Yongshuai Wang Rui Wang 65 4 0 17 Feb 2024
Knowledge Distillation Based on Transformed Teacher Matching Kaixiang Zheng En-Hui Yang 41 19 0 17 Feb 2024
Semantically-aware Neural Radiance Fields for Visual Scene Understanding: A Comprehensive Review Thang-Anh-Quan Nguyen Amine Bourki Mátyás Macudzinski Anthony Brunel M. Bennamoun 48 11 0 17 Feb 2024
Training Class-Imbalanced Diffusion Model Via Overlap Optimization Divin Yan Lu Qi Vincent Tao Hu Ming-Hsuan Yang Meng Tang 39 5 0 16 Feb 2024
Exploring Precision and Recall to assess the quality and diversity of LLMs Florian Le Bronnec Alexandre Verine Benjamin Négrevergne Y. Chevaleyre Alexandre Allauzen 46 14 0 16 Feb 2024
A novel integrated industrial approach with cobots in the age of industry 4.0 through conversational interaction and computer vision Andrea Pazienza Nicola Macchiarulo Felice Vitulano Antonio Fiorentini Marco Cammisa Leonardo Rigutini E. Iorio Achille Globo Antonio Trevisi 23 7 0 16 Feb 2024
ManiFPT: Defining and Analyzing Fingerprints of Generative Models Hae Jin Song Mahyar Khayatkhoei Wael AbdAlmageed 21 6 0 16 Feb 2024
Data Augmentation and Transfer Learning Approaches Applied to Facial Expressions Recognition Enrico Randellini Leonardo Rigutini Claudio Saccà CVBM 22 1 0 15 Feb 2024
Aligning Crowd Feedback via Distributional Preference Reward Modeling Dexun Li Cong Zhang Kuicai Dong Derrick-Goh-Xin Deik Ruiming Tang Yong Liu 21 15 0 15 Feb 2024
Evaluation of Activated Sludge Settling Characteristics from Microscopy Images with Deep Convolutional Neural Networks and Transfer Learning Sina Borzooei Leonardo F. S. Scabini Gisele Miranda S. Daneshgar Lukas Deblieck Piet De Langhe Odemir M. Bruno B. De Baets I. Nopens E. Torfs 11 18 0 14 Feb 2024
Parametric Learning of Time-Advancement Operators for Unstable Flame Evolution Rixin Yu Erdzan Hodzic AI4CE 27 4 0 14 Feb 2024
TDViT: Temporal Dilated Video Transformer for Dense Video Tasks Guanxiong Sun Yang Hua Guosheng Hu N. Robertson ViT 32 1 0 14 Feb 2024
Switch EMA: A Free Lunch for Better Flatness and Sharpness Siyuan Li Zicheng Liu Juanxi Tian Ge Wang Zedong Wang ... Cheng Tan Tao Lin Yang Liu Baigui Sun Stan Z. Li 35 6 0 14 Feb 2024
Camera Calibration through Geometric Constraints from Rotation and Projection Matrices M. Waleed Abdul Rauf Murtaza Taj 31 1 0 13 Feb 2024
Tighter Bounds on the Information Bottleneck with Application to Deep Learning Nir Weingarten Z. Yakhini Moshe Butman Ran Gilad-Bachrach AAML 30 1 0 12 Feb 2024
OSSAR: Towards Open-Set Surgical Activity Recognition in Robot-assisted Surgery Long Bai Guan-Feng Wang Jie Wang Xiaoxiao Yang Huxin Gao Xin Liang An-Chi Wang Mobarakol Islam Hongliang Ren 39 6 0 10 Feb 2024
For Better or For Worse? Learning Minimum Variance Features With Label Augmentation Muthuraman Chidambaram Rong Ge AAML 35 0 0 10 Feb 2024
Transfer learning with generative models for object detection on limited datasets Matteo Paiano Stefano Martina Carlotta Giannelli Filippo Caruso 45 3 0 09 Feb 2024
Sequential Flow Straightening for Generative Modeling Jongmin Yoon Juho Lee 36 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 31 12 0 08 Feb 2024
SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels Juhwan Choi Kyohoon Jin Junho Lee Sang-hyŏn Song Youngbin Kim 13 5 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 32 1 0 08 Feb 2024
GPTs Are Multilingual Annotators for Sequence Generation Tasks Juhwan Choi Eunju Lee Kyohoon Jin Youngbin Kim 25 10 0 08 Feb 2024
Blue noise for diffusion models Xingchang Huang Corentin Salaün C. N. Vasconcelos Christian Theobalt Cengiz Öztireli Gurprit Singh DiffM 32 6 0 07 Feb 2024
Pseudo-labelling meets Label Smoothing for Noisy Partial Label Learning Darshana Saravanan Naresh Manwani Vineet Gandhi 44 0 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 32 1 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 37 0 0 07 Feb 2024
Linear-time Minimum Bayes Risk Decoding with Reference Aggregation Jannis Vamvas Rico Sennrich 52 15 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 34 12 0 06 Feb 2024
Cross Entropy versus Label Smoothing: A Neural Collapse Perspective Li Guo Keith Ross Zifan Zhao George Andriopoulos Shuyang Ling Yufeng Xu Zixuan Dong UQCV NoLa 32 9 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 52 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 28 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 44 3 0 06 Feb 2024
Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks Yanbo Wang Jian Liang Ran He AAML 22 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 33 3 0 04 Feb 2024