Efficient rotation invariance in deep neural networks through artificial mental rotation

L Tuggener, T Stadelmann, J Schmidhuber - arXiv preprint arXiv …, 2023 - arxiv.org
Humans and animals recognize objects irrespective of the beholder's point of view, which
may drastically change their appearances. Artificial pattern recognizers also strive to …

A rotation and scale invariant approach for multi-oriented floor plan image retrieval

R Khade, K Jariwala, C Chattopadhyay, U Pal - Pattern Recognition Letters, 2021 - Elsevier
An automatic system for analysis and retrieval of building floor plans images is helpful for the
architects while designing new projects and providing recommendations to the buyers. For …

Why my photos look sideways or upside down? Detecting canonical orientation of images using convolutional neural networks

K Swami, PP Deshpande, G Khandelwal… - … on Multimedia & …, 2017 - ieeexplore.ieee.org
Image orientation detection requires high-level scene understanding. Humans use object
recognition and contextual scene information to correctly orient images. In literature, the …

Flexnet: Learning deep features using autoencoders for floor plan image retrieval

R Khade, A Kalsekar, K Jariwala… - 2023 IEEE Guwahati …, 2023 - ieeexplore.ieee.org
Content-based retrieval of scanned document images is gaining research. A system that
automatically analyses and retrieves similar floor plan images depending on user needs …

Robustness of a neural network used for image classification: The effect of applying distortions on adversarial examples

R Östberg - 2018 - diva-portal.org
Powerful classifiers as neural networks have long been used to recognise images; these
images might depict objects like animals, people or plain text. Distorted images affect the …

Autoencoders in Graphical Document Retrieval: Cost Function Influence and Rotation Impact

R Khade, K Jariwala… - … Conference on Modeling …, 2023 - ieeexplore.ieee.org
This study explores autoencoder application in graphical document retrieval, focusing on
rotation's impact. Specific to this paper are scanned floor plan images. We investigate the …

Fully convolutional network for object direction estimation in the wild

M Du, G Wang - 2019 International Conference on Intelligent …, 2019 - ieeexplore.ieee.org
In recent years, object detection has been widely applied in various fields, such as aircraft
navigation, and power line inspection. However, the object pose estimation in complex …