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[A digital droplet PCR detection technique based on filter faster R-CNN]. [PDF]
Nan Fang Yi Ke Da Xue Xue BaoZhang Y +6 more
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Scale-Aware Domain Adaptive Faster R-CNN
International Journal of Computer Vision, 2021Object detection typically assumes that training and test samples are drawn from an identical distribution, which, however, does not always hold in practice. Such a distribution mismatch may lead to a significant performance drop. In this work, we present Scale-aware Domain Adaptive Faster R-CNN, a model aiming at improving the cross-domain robustness ...
Yuhua Chen +5 more
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Domain Generalised Faster R-CNN
Proceedings of the AAAI Conference on Artificial Intelligence, 2023Domain generalisation (i.e. out-of-distribution generalisation) is an open problem in machine learning, where the goal is to train a model via one or more source domains, that will generalise well to unknown target domains. While the topic is attracting increasing interest, it has not been studied in detail in the context of object detection.
Karthik Seemakurthy +3 more
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Faster R-CNN Based Cephalometric Landmarks Detection
2021 IEEE AFRICON, 2021The objective of this study is to identify cephalometric landmarks on 2D cephalograms (X-rays) using a two-stage Artificial Intelligence (AI) based object detection method. The proposed work implements a Faster Region-based Convolutional Neural Network (Faster R-CNN), a deep-neural network, which consists of a 50 layered Residual Network (ResNet50 ...
L. C Tabata, C. N. Nyirenda
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Infrared Image Target Detection of Substation Electrical Equipment Using an Improved Faster R-CNN
IEEE Transactions on Power Delivery, 2023Infrared camera can be used to monitor the condition of substation electrical equipment. Fast and accurate target detection algorithm is the key for infrared intelligent on-line routing inspection.
Jianhua Ou +6 more
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Bird Audio Diarization with Faster R-CNN
2021Birds embody particular phonic and visual traits that distinguish them from 10,000 distinct bird species worldwide. Birds are also perceived to be indicators of biodiversity due to their propensity for responding to changes in their environment. An effective, automatic wildlife monitoring system based on bird bioacoustics, which can support manual ...
Roman Shrestha +3 more
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ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector
ECML/PKDD, 2018Given the ability to directly manipulate image pixels in the digital input space, an adversary can easily generate imperceptible perturbations to fool a Deep Neural Network (DNN) image classifier, as demonstrated in prior work.
Shang-Tse Chen +3 more
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Faster R-CNN for multi-class fruit detection using a robotic vision system
Comput. Networks, 2020An accurate and real-time image based multi-class fruit detection system is important for facilitating higher level smart farm tasks such as yield mapping and robotic harvesting.
Shaohua Wan, Sotirios K Goudos
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Geometric proposals for faster R-CNN
2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2017Faster R-CNN has established itself as the de-facto best object detector but it remains strongly limited in two aspects: (i) it is sensitive to background clutter and its classification performance decreases when it is confronted with more noisy proposals; (ii) it suffers when the objects vary largely in scale and specifically for the small objects. We
Amin S, Galasso F
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