Coda: A real-world road corner case dataset for object detection in autonomous driving
Contemporary deep-learning object detection methods for autonomous driving usually
presume fixed categories of common traffic participants, such as pedestrians and cars. Most …
presume fixed categories of common traffic participants, such as pedestrians and cars. Most …
Geodiffusion: Text-prompted geometric control for object detection data generation
K Chen, E ** and 3D projection
M Danta, P Dreyer, D Bezerra, G Reis, R Souza… - Multimedia Tools and …, 2022 - Springer
The creation of a dataset is time-consuming and sometimes discourages researchers from
pursuing their goals. To overcome this problem, we present and discuss two solutions …
pursuing their goals. To overcome this problem, we present and discuss two solutions …
Saving costs for video data annotation in wildlife monitoring
F Schindler, V Steinhage - Ecological Informatics, 2021 - Elsevier
In wildlife monitoring, large amounts of video data are generated by recordings from camera
traps. Training of deep learning methods demands for annotated video data, ie video data …
traps. Training of deep learning methods demands for annotated video data, ie video data …
Experimental evaluation of saliency detection model for product region prediction
T Futagami, N Hayasaka - 2021 60th Annual Conference of the …, 2021 - ieeexplore.ieee.org
This paper aims to clarify effectiveness of saliency detection models, which can identify
regions of human eye fixation in images, in product region prediction towards further …
regions of human eye fixation in images, in product region prediction towards further …
Automatic Dense Annotation for Monocular 3D Scene Understanding
Deep neural networks have revolutionized many areas of computer vision, but they require
notoriously large amounts of labeled training data. For tasks such as semantic segmentation …
notoriously large amounts of labeled training data. For tasks such as semantic segmentation …