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Found 5 papers, 1 papers with code
Human Pose Estimation in Monocular Omnidirectional Top-View Images
In our work we propose a new dataset for training and evaluation of CNNs for the task of keypoint detection in omnidirectional images.
Unsupervised Domain Adaptation from Synthetic to Real Images for Anchorless Object Detection
Given their good performance, anchorless detectors are increasingly attracting attention in the field of object detection.
Where to drive: free space detection with one fisheye camera
The development in the field of autonomous driving goes hand in hand with ever new developments in the field of image processing and machine learning methods.
A CNN-based Feature Space for Semi-supervised Incremental Learning in Assisted Living Applications
A Convolutional Neural Network (CNN) is sometimes confronted with objects of changing appearance ( new instances) that exceed its generalization capability.
Learning from THEODORE: A Synthetic Omnidirectional Top-View Indoor Dataset for Deep Transfer Learning
Recent work about synthetic indoor datasets from perspective views has shown significant improvements of object detection results with Convolutional Neural Networks(CNNs).
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