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Faster R-CNN based microscopic cell detection
2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC), 2017The automatic analysis of microscopic images is an important subject of medical image processing, of which the cell detection is an important part. However, owing to the different size and shape, as also as the adhesion among cells, detecting and locating cells accurately seems to be a very challenging task.
Su Yang +5 more
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Adversarial attacks on Faster R-CNN object detector
Neurocomputing, 2020Abstract Adversarial attacks have stimulated research interests in the field of deep learning security. However, most of existing adversarial attack methods are developed on classification. In this paper, we use Projected Gradient Descent (PGD), the strongest first-order attack method on classification, to produce adversarial examples on the total ...
Yutong Wang 0001 +3 more
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Road Damage Detection and Classification with Faster R-CNN
2018 IEEE International Conference on Big Data (Big Data), 2018This technical paper presents the method that we use in the Road Damage Detection and Classification Challenge, which is designed to detect damages contained in road images photographed by a vehicle-mounted smartphone. In this task, we apply Faster R-CNN to detect and classify damaged roads.
Wenzhe Wang +3 more
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Gastric Polyps Detection by Improved Faster R-CNN
Proceedings of the 2019 8th International Conference on Computing and Pattern Recognition, 2019This paper presents the research results of detecting gastric polyps with deep learning object detection method in gastroscopic images. In this work, we use an improved Faster R-CNN network to detect the gastric polyps. We use the ROI align operation to replace ROI pooling operation, use the GIoU loss to replace the original smooth L1 loss and use the ...
Ruilin Wang +3 more
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Pedestrian Detection Method Based on Faster R-CNN
2017 13th International Conference on Computational Intelligence and Security (CIS), 2017Pedestrian detection based on computer vision is an important branch of object recognition, which is applied to intelligent monitoring, intelligent driving, robot and so on. At present, many pedestrian detection methods are proposed. However, because of the complexity of the background, pedestrian posture diversity and pedestrian occlusions, pedestrian
Hui Zhang +5 more
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Rapid Cigarette Detection Based on Faster R-CNN
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2019Since the target detection algorithm based on deep learning is easy to be affected by light and image quality in cigarette detection applications, resulting the high false detection rate and high hardware occupancy rate, a rapid cigarette detection method based on Faster Regions with Convolutional Neural Networks (Faster R-CNN) model is proposed.
Guijin Han +3 more
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Face Detection with Improved Faster-R-CNN
2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM), 2022Meng Wang, Fen Zheng, Jiangdong Lu
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p-Faster R-CNN Algorithm for Food Detection
2018Eating healthily helps prevent disease, and it can be achieved by identifying the kinds and ingredients of the food to determine whether the diet is healthy. In this paper, we innovatively propose p-Faster R-CNN algorithm for healthy diet detection, which is based on Faster R-CNN with Zeiler and Fergus model (ZF-net) and Caffe framework.
Yanchen Wan +3 more
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Classification of Leukemia and Lymphoma using Faster R-CNN
2022 International Conference on Microelectronics (ICM), 2022Salimar Al Zaouk +4 more
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