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

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

3 February 2016
Nanne van Noord
E. Postma
    SSL
ArXivPDFHTML

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

13 / 13 papers shown
Title
Attention Mechanisms in Medical Image Segmentation: A Survey
Attention Mechanisms in Medical Image Segmentation: A Survey
Yutong Xie
Bing Yang
Qi Guan
Jianpeng Zhang
Qi Wu
Yong-quan Xia
ViT
MedIm
27
16
0
29 May 2023
Survey of Automatic Plankton Image Recognition: Challenges, Existing
  Solutions and Future Perspectives
Survey of Automatic Plankton Image Recognition: Challenges, Existing Solutions and Future Perspectives
T. Eerola
Daniel Batrakhanov
Nastaran Vatankhah Barazandeh
K. Kraft
Lumi Haraguchi
L. Lensu
S. Suikkanen
Jukka Seppälä
T. Tamminen
Heikki Kälviäinen
28
11
0
19 May 2023
A study on the invariance in security whatever the dimension of images
  for the steganalysis by deep-learning
A study on the invariance in security whatever the dimension of images for the steganalysis by deep-learning
Kévin Planolles
Marc Chaumont
Frédéric Comby
28
0
0
22 Feb 2023
KonX: Cross-Resolution Image Quality Assessment
KonX: Cross-Resolution Image Quality Assessment
Oliver Wiedemann
Vlad Hosu
Shaolin Su
Dietmar Saupe
41
10
0
12 Dec 2022
Scale Invariant Domain Generalization Image Recapture Detection
Scale Invariant Domain Generalization Image Recapture Detection
Jinian Luo
Jie Guo
Weidong Qiu
Zheng Huang
Hong Hui
29
8
0
07 Oct 2021
Scale-invariant scale-channel networks: Deep networks that generalise to
  previously unseen scales
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales
Ylva Jansson
T. Lindeberg
13
23
0
11 Jun 2021
Understanding and Creating Art with AI: Review and Outlook
Understanding and Creating Art with AI: Review and Outlook
E. Cetinic
James She
132
311
0
18 Feb 2021
Truly shift-invariant convolutional neural networks
Truly shift-invariant convolutional neural networks
Anadi Chaman
Ivan Dokmanić
23
68
0
28 Nov 2020
An analysis of the transfer learning of convolutional neural networks
  for artistic images
An analysis of the transfer learning of convolutional neural networks for artistic images
Nicolas Gonthier
Y. Gousseau
Saïd Ladjal
24
18
0
05 Nov 2020
High resolution neural texture synthesis with long range constraints
High resolution neural texture synthesis with long range constraints
Nicolas Gonthier
Y. Gousseau
Saïd Ladjal
3DV
19
8
0
04 Aug 2020
Multiple instance learning on deep features for weakly supervised object
  detection with extreme domain shifts
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts
Nicolas Gonthier
Saïd Ladjal
Y. Gousseau
WSOD
29
28
0
03 Aug 2020
Weakly Supervised Object Detection in Artworks
Weakly Supervised Object Detection in Artworks
Nicolas Gonthier
Y. Gousseau
Saïd Ladjal
Olivier Bonfait
ObjD
17
70
0
05 Oct 2018
Building Extraction at Scale using Convolutional Neural Network: Mapping
  of the United States
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
35
175
0
23 May 2018
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