Computer Vision and Pattern Recognition · Computer Science
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context
Shashank Agnihotri, Julia Grabinski, Margret Keuper
2024-07-16
Computer Vision and Pattern Recognition · Computer Science
A Gaussian Process Upsampling Model for Improvements in Optical Character Recognition
Steven I Reeves, Dongwook Lee, Anurag Singh, Kunal Verma
2020-05-11
Computer Vision and Pattern Recognition · Computer Science
Learning to Downsample for Segmentation of Ultra-High Resolution Images
Chen Jin, Ryutaro Tanno, Thomy Mertzanidou, Eleftheria Panagiotaki +1
2022-08-19
Machine Learning · Computer Science
CUF: Continuous Upsampling Filters
Cristina Vasconcelos, Cengiz Oztireli, Mark Matthews, Milad Hashemi +2
2022-10-21
Image and Video Processing · Electrical Eng. & Systems
Upsampling Improvement for Overfitted Neural Coding
Pierrick Philippe, Théo Ladune, Gordon Clare, Félix Henry +2
2024-12-02
Computer Vision and Pattern Recognition · Computer Science
Perceptual deep depth super-resolution
Oleg Voynov, Alexey Artemov, Vage Egiazarian, Alexander Notchenko +3
2019-09-10
Computer Vision and Pattern Recognition · Computer Science
PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans
Giang, Nguyen, Valerie Chen, Mohammad Reza Taesiri +1
2024-08-28
Statistical Mechanics · Physics
Beauty and structural complexity
Samy Lakhal, Alexandre Darmon, Jean-Philippe Bouchaud, Michael Benzaquen
2020-07-01
Computer Vision and Pattern Recognition · Computer Science
Advances in Hyperspectral Image Classification: Earth monitoring with statistical learning methods
Gustavo Camps-Valls, Devis Tuia, Lorenzo Bruzzone, Jón Atli Benediktsson
2015-04-13
Computer Vision and Pattern Recognition · Computer Science
Uniform Information Segmentation
Radhakrishna Achanta, Pablo Márquez-Neila, Pascal Fua, Sabine Süsstrunk
2016-11-29
Computer Vision and Pattern Recognition · Computer Science
Recurrent Neural Networks to Correct Satellite Image Classification Maps
Emmanuel Maggiori, Guillaume Charpiat, Yuliya Tarabalka, Pierre Alliez
2017-04-24
Computer Vision and Pattern Recognition · Computer Science
Scalable Similarity Learning using Large Margin Neighborhood Embedding
Zhaowen Wang, Jianchao Yang, Zhe Lin, Jonathan Brandt +2
2014-04-28