360vot: A new benchmark dataset for omnidirectional visual object tracking
Abstract 360deg images can provide an omnidirectional field of view which is important for
stable and long-term scene perception. In this paper, we explore 360deg images for visual …
stable and long-term scene perception. In this paper, we explore 360deg images for visual …
Pandora: A panoramic detection dataset for object with orientation
Panoramic images have become increasingly popular as omnidirectional panoramic
technology has advanced. Many datasets and works resort to object detection to better …
technology has advanced. Many datasets and works resort to object detection to better …
Gaussian label distribution learning for spherical image object detection
Spherical image object detection emerges in many applications from virtual reality to
robotics and automatic driving, while many existing detectors use ln-norms loss for …
robotics and automatic driving, while many existing detectors use ln-norms loss for …
One-stage methods of computer vision object detection to classify carious lesions from smartphone imaging
The current study aimed to implement and validate an automation system to detect carious
lesions from smartphone images using different one-stage deep learning techniques. 233 …
lesions from smartphone images using different one-stage deep learning techniques. 233 …
[PDF][PDF] Sph2Pob: Boosting Object Detection on Spherical Images with Planar Oriented Boxes Methods.
Object detection on panoramic/spherical images has been developed rapidly in the past few
years, where IoU-calculator is a fundamental part of various detector components, ie Label …
years, where IoU-calculator is a fundamental part of various detector components, ie Label …
Field-of-view IoU for object detection in 360° images
360° cameras have gained popularity over the last few years. In this paper, we propose two
fundamental techniques—Field-of-View IoU (FoV-IoU) and 360Augmentation for object …
fundamental techniques—Field-of-View IoU (FoV-IoU) and 360Augmentation for object …
Towards 360 image compression for machines via modulating pixel significance
The rapid growth of computer vision-based applications, including smart cities and
autonomous driving, has created a pressing demand for efficient 360\(^{\circ}\) image …
autonomous driving, has created a pressing demand for efficient 360\(^{\circ}\) image …
VORTEX: Visual phishing detectiOns aRe Through EXplanations
F Charmet, T Morikawa, A Tanaka… - ACM Transactions on …, 2024 - dl.acm.org
Phishing attacks reached a record high in 2022, as reported by the Anti-Phishing Work
Group, following an upward trend accelerated during the pandemic. Attackers employ …
Group, following an upward trend accelerated during the pandemic. Attackers employ …
360VOTS: Visual Object Tracking and Segmentation in Omnidirectional Videos
Visual object tracking and segmentation in omnidirectional videos are challenging due to
the wide field-of-view and large spherical distortion brought by 360 {\deg} images. To …
the wide field-of-view and large spherical distortion brought by 360 {\deg} images. To …
Rotated Object Detection with Circular Gaussian Distribution
Rotated object detection is a challenging task due to the difficulties of locating the rotated
objects and separating them effectively from the background. For rotated object prediction …
objects and separating them effectively from the background. For rotated object prediction …