Research

Papers for “image classification”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

Title	Authors	Year	Source
Nanorobot queue: Cooperative treatment of cancer based on team member communication and image processing	Xinyu Zhou	2021	arxiv 2111.11236
Machine Learning State-of-the-Art with Uncertainties	Peter Steinbach, Felicita Gernhardt, Mahnoor Tanveer	2022	arxiv 2204.05173
Vision Transformers in Medical Imaging: A Review	Emerald U. Henry, Onyeka Emebob, Conrad Asotie Omonhinmin	2022	arxiv 2211.10043
PKCAM: Previous Knowledge Channel Attention Module	Eslam Mohamed Bakr, Ahmad El Sallab, Mohsen A. Rashwan	2022	arxiv 2211.07521
Diversify and Disambiguate: Learning From Underspecified Data	Yoonho Lee, Huaxiu Yao, Chelsea Finn	2022	arxiv 2202.03418
CLIP the Gap: A Single Domain Generalization Approach for Object Detection	Vidit Vidit, Martin Engilberge, Mathieu Salzmann	2023	arxiv 2301.05499
Endoscopy Classification Model Using Swin Transformer and Saliency Map	Zahra Sobhaninia, Nasrin Abharian, Nader Karimi	2023	arxiv 2303.06736
Multi-level Residual Networks from Dynamical Systems View	Bo Chang, Lili Meng, Eldad Haber	2017	arxiv 1710.10348
Studying Invariances of Trained Convolutional Neural Networks	Charlotte Bunne, Lukas Rahmann, Thomas Wolf	2018	arxiv 1803.05963
Learning multiple non-mutually-exclusive tasks for improved classification of inherently ordered labels	Vadim Ratner, Yoel Shoshan, Tal Kachman	2018	arxiv 1805.11837
Focusing on the Big Picture: Insights into a Systems Approach to Deep Learning for Satellite Imagery	Ritwik Gupta, Carson D. Sestili, Javier A. Vazquez-Trejo	2018	arxiv 1811.04893
Thwarting Adversarial Examples: An $L_0$-RobustSparse Fourier Transform	Mitali Bafna, Jack Murtagh, Nikhil Vyas	2018	arxiv 1812.05013
Equivariant Transformer Networks	Kai Sheng Tai, Peter Bailis, Gregory Valiant	2019	arxiv 1901.11399
GANchors: Realistic Image Perturbation Distributions for Anchors Using Generative Models	Kurtis Evan David, Harrison Keane, Jun Min Noh	2019	arxiv 1906.00297
Adversarial Examples for Edge Detection: They Exist, and They Transfer	Christian Cosgrove, Alan L. Yuille	2019	arxiv 1906.00335
Boosting Mapping Functionality of Neural Networks via Latent Feature Generation based on Reversible Learning	Jongmin Yu	2019	arxiv 1910.09108
Adversarial Transformations for Semi-Supervised Learning	Teppei Suzuki, Ikuro Sato	2019	arxiv 1911.06181
Abnormal Client Behavior Detection in Federated Learning	Suyi Li, Yong Cheng, Yang Liu	2019	arxiv 1910.09933
SimLoss: Class Similarities in Cross Entropy	Konstantin Kobs, Michael Steininger, Albin Zehe	2020	arxiv 2003.03182
Active Learning in Video Tracking	Sima Behpour	2019	arxiv 1912.12557

Search results