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Co-occurrence matrix analysis-based semi-supervised training for object detection
We used an MS-COCO detection dataset to verify the performance of the proposed SSL method and deformable neural networks (D-ConvNets) as an object detector for basic training.
End-to-End Pedestrian Collision Warning System based on a Convolutional Neural Network with Semantic Segmentation
Traditional pedestrian collision warning systems sometimes raise alarms even when there is no danger (e. g., when all pedestrians are walking on the sidewalk).
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