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Learning scale-variant and scale-invariant features for deep image classification

3 February 2016

Papers citing "Learning scale-variant and scale-invariant features for deep image classification"

29 / 29 papers shown

Title
Semi-Supervised Object Detection: A Survey on Progress from CNN to Transformer Tahira Shehzadi Ifza Didier Stricker Muhammad Zeshan Afzal ViT 337 6 0 11 Jul 2024
Scale-Invariant Feature Disentanglement via Adversarial Learning for UAV-based Object Detection Fan Liu Liang Yao Chuanyi Zhang Ting Wu Xinlei Zhang Xiruo Jiang Jun Zhou AAML 105 0 0 24 May 2024
IrrNet: Advancing Irrigation Mapping with Incremental Patch Size Training on Remote Sensing Imagery Oishee Bintey Hoque Samarth Swarup Abhijin Adiga S. Nouwakpo Madhav V. Marathe 237 1 0 17 Apr 2024
Scale-Preserving Automatic Concept Extraction (SPACE)Machine-mediated learning (ML), 2023 Andres Felipe Posada-Moreno Lukas Kreisköther T. Glander Sebastian Trimpe 101 1 0 11 Aug 2023
Art Authentication with Vision Transformers Ludovica Schaerf Carina Popovici Eric Postma ViT 192 13 0 06 Jul 2023
Attention Mechanisms in Medical Image Segmentation: A Survey Yutong Xie Bing Yang Qi Guan Jianpeng Zhang Qi Wu Yong-quan Xia ViT MedIm 195 37 0 29 May 2023
Survey of Automatic Plankton Image Recognition: Challenges, Existing Solutions and Future PerspectivesArtificial Intelligence Review (AIR), 2023 T. Eerola Daniel Batrakhanov Nastaran Vatankhah Barazandeh K. Kraft Lumi Haraguchi L. Lensu S. Suikkanen Jukka Seppälä T. Tamminen Heikki Kälviäinen 179 26 0 19 May 2023
A study on the invariance in security whatever the dimension of images for the steganalysis by deep-learningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 Kévin Planolles Marc Chaumont Frédéric Comby 167 1 0 22 Feb 2023
KonX: Cross-Resolution Image Quality AssessmentQuality and User Experience (QUE), 2022 Oliver Wiedemann Vlad Hosu Shaolin Su Dietmar Saupe 194 11 0 12 Dec 2022
D2DF2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain AdaptationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022 Yuting Wang Ricardo Guerrero Vladimir Pavlovic 164 5 0 02 Dec 2022
Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural NetworksIEEE International Joint Conference on Neural Network (IJCNN), 2022 Thomas Altstidl A. Nguyen Leo Schwinn Franz Koferl Christopher Mutschler Björn Eskofier Dario Zanca 189 2 0 18 Nov 2022
Deep learning-based denoising for fast time-resolved flame emission spectroscopy in high-pressure combustion environmentCombustion and Flame (Combust. Flame), 2022 Taekeun Yoon Seon Woong Kim Ho-June Byun Younsik Kim Campbell D. Carter H. Do AI4CE 201 19 0 29 Jul 2022
Scale Invariant Domain Generalization Image Recapture Detection Jinian Luo Jie Guo Weidong Qiu Zheng Huang Hong Hui 107 9 0 07 Oct 2021
Can Super Resolution be used to improve Human Pose Estimation in Low Resolution Scenarios? Peter Hardy S. Dasmahapatra Hansung Kim SupR 3DH 179 1 0 05 Jul 2021
Knee Osteoarthritis Severity Prediction using an Attentive Multi-Scale Deep Convolutional Neural Network R. Jain Prasen Kumar Sharma S. Gaj Arijit Sur P. Ghosh MedIm 77 48 0 27 Jun 2021
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scalesJournal of Mathematical Imaging and Vision (JMIV), 2021 Ylva Jansson T. Lindeberg 192 27 0 11 Jun 2021
The Untapped Potential of Off-the-Shelf Convolutional Neural NetworksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021 Matthew J. Inkawhich Nathan Inkawhich Eric K. Davis Xue Yang Yiran Chen BDL 218 0 0 17 Mar 2021
Understanding and Creating Art with AI: Review and Outlook E. Cetinic James She 327 404 0 18 Feb 2021
CNN-based Ego-Motion Estimation for Fast MAV ManeuversIEEE International Conference on Robotics and Automation (ICRA), 2021 Ying Xu Guido de Croon 197 4 0 06 Jan 2021
Truly shift-invariant convolutional neural networksComputer Vision and Pattern Recognition (CVPR), 2020 Anadi Chaman Ivan Dokmanić 345 81 0 28 Nov 2020
An analysis of the transfer learning of convolutional neural networks for artistic images Nicolas Gonthier Y. Gousseau Saïd Ladjal 176 19 0 05 Nov 2020
Multiclass Wound Image Classification using an Ensemble Deep CNN-based Classifier Behrouz Rostami D. Anisuzzaman Chuanbo Wang Sandeep Gopalakrishnan J. Niezgoda Zeyun Yu 116 85 0 19 Oct 2020
High resolution neural texture synthesis with long range constraints Nicolas Gonthier Y. Gousseau Saïd Ladjal 3DV 227 9 0 04 Aug 2020
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts Nicolas Gonthier Saïd Ladjal Y. Gousseau WSOD 387 31 0 03 Aug 2020
Salient Slices: Improved Neural Network Training and Performance with Image EntropyNeural Computation (Neural Comput.), 2019 Steven J. Frank Andrea M. Frank 158 14 0 29 Jul 2019
Weakly Supervised Object Detection in Artworks Nicolas Gonthier Y. Gousseau Saïd Ladjal Olivier Bonfait ObjD 152 80 0 05 Oct 2018
Building Extraction at Scale using Convolutional Neural Network: Mapping of the United States Hsiuhan Lexie Yang Jiangye Yuan D. Lunga M. Laverdiere A. Rose B. Bhaduri 127 183 0 23 May 2018
Deformable Classifiers Jiajun Shen Y. Amit 85 0 0 18 Dec 2017
ARTiS: Appearance-based Action Recognition in Task Space for Real-Time Human-Robot Collaboration M. Eich S. Shirazi G. Wyeth 121 2 0 18 Oct 2016