Overlooking the issue of false alarm suppression in heterogeneous change detection leads to inferior detection per-formance.This paper proposes a method to handle false alarms in heterogeneous change detection.A light...Overlooking the issue of false alarm suppression in heterogeneous change detection leads to inferior detection per-formance.This paper proposes a method to handle false alarms in heterogeneous change detection.A lightweight network of two channels is bulit based on the combination of convolutional neural network(CNN)and graph convolutional network(GCN).CNNs learn feature difference maps of multitemporal images,and attention modules adaptively fuse CNN-based and graph-based features for different scales.GCNs with a new kernel filter adaptively distinguish between nodes with the same and those with different labels,generating change maps.Experimental evaluation on two datasets validates the efficacy of the pro-posed method in addressing false alarms.展开更多
A neurophysiological detector (NPD) is a hybridization of olfactory system neurons of the fish crucian carp, Carassius carassius L., with a computerized electronic device connected to a high-performance liquid chromat...A neurophysiological detector (NPD) is a hybridization of olfactory system neurons of the fish crucian carp, Carassius carassius L., with a computerized electronic device connected to a high-performance liquid chromatograph (HPLC). This system makes it possible to measure neurophysiological activities in the olfactory system of C. carassius L. after exposure of this fish to alarm pheromones. The construction of the system was presented for the first time at the 3rd International Symposium on Separation in Bio Sciences SBS 2003 in I. Brondz, et al., The Fish Olfactory System Used as an In-Line HPLC Neurophysiologic Detector NPD, 3rd Int. Symposium on Separation in Bio Sciences SBS 2003: A 100 Years of Chromatography, 13-18 May, Moscow, Russia, 2003, Abstract O- 27, p. 95. A complete paper was published in I. Brondz, et al., Neurophysiologic Detector (NPD)—A Selective and Sensitive Tool in High-Performance Liquid Chromatography, Chromatography B: Biomedical Sciences and Applications, Vol. 800, No. 1-2, 2004, pp. 41-47, and the hybridization of living cells with an electronic device has been discussed (I. Brondz, et al., International Scientific-Technical Conference Sensors Electronics and Microsystems Technology (SEMST-1), 1-5 June, (Odessa), Ukraine, 2004, Plenum Lecture, Abstract p. 17;I. Brondz, et al., The European Chemoreception Research Organization ECRO 2004 Congress, 12-15 September, (Dijon), France, 2004, Abstract P-3;and I. Brondz, et al., Biosensors as Electronic Compounds for Detector in the High-Performance Liquid Chromatography (HPLC), Electronic Components and Systems, Vol. 3, No. 103, 2006, pp. 25-27). In the present study, an HPLC equipped with an NPD was used to assess the influence of organophosphate (OP) pesticides on olfactory sensory nerves and the modification of nerve signals from the olfactory organ. The results show that exposure of the olfactory system to OP pesticides can lead to disruption of normal reflexes and to significant suppression of individual sexual activity and, as a result展开更多
针对复杂场景下尺寸小、遮挡严重等因素导致车辆识别率低、虚警率高等难题,提出了一种基于深度学习的复杂场景下车辆识别方法。首先,根据复杂场景中的车辆特点,对公开数据集的标注文件进行可视化解析,对其中的漏标注、误标注等车辆进行...针对复杂场景下尺寸小、遮挡严重等因素导致车辆识别率低、虚警率高等难题,提出了一种基于深度学习的复杂场景下车辆识别方法。首先,根据复杂场景中的车辆特点,对公开数据集的标注文件进行可视化解析,对其中的漏标注、误标注等车辆进行重新标注,对图像样本数据进行增强处理,形成新的训练数据集;然后,用新的训练数据集训练YOLO(You Only Look Once)网络模型,直至模型满足给定精度;最后,用训练好的YOLO模型对复杂场景下的车辆进行识别,并用基于残差归一化规则的虚警抑制方法剔除虚警。实验结果表明,使用COCO数据集测试时,改进的算法平均精度均值(Mean Average Precision,m AP)为79.2,比YOLO算法提高了0.6;使用PCAR数据集测试时,改进的算法m AP值为63.7,比YOLO算法提高了1.4。展开更多
基金This work was supported by the Natural Science Foundation of Heilongjiang Province(LH2022F049).
文摘Overlooking the issue of false alarm suppression in heterogeneous change detection leads to inferior detection per-formance.This paper proposes a method to handle false alarms in heterogeneous change detection.A lightweight network of two channels is bulit based on the combination of convolutional neural network(CNN)and graph convolutional network(GCN).CNNs learn feature difference maps of multitemporal images,and attention modules adaptively fuse CNN-based and graph-based features for different scales.GCNs with a new kernel filter adaptively distinguish between nodes with the same and those with different labels,generating change maps.Experimental evaluation on two datasets validates the efficacy of the pro-posed method in addressing false alarms.
文摘A neurophysiological detector (NPD) is a hybridization of olfactory system neurons of the fish crucian carp, Carassius carassius L., with a computerized electronic device connected to a high-performance liquid chromatograph (HPLC). This system makes it possible to measure neurophysiological activities in the olfactory system of C. carassius L. after exposure of this fish to alarm pheromones. The construction of the system was presented for the first time at the 3rd International Symposium on Separation in Bio Sciences SBS 2003 in I. Brondz, et al., The Fish Olfactory System Used as an In-Line HPLC Neurophysiologic Detector NPD, 3rd Int. Symposium on Separation in Bio Sciences SBS 2003: A 100 Years of Chromatography, 13-18 May, Moscow, Russia, 2003, Abstract O- 27, p. 95. A complete paper was published in I. Brondz, et al., Neurophysiologic Detector (NPD)—A Selective and Sensitive Tool in High-Performance Liquid Chromatography, Chromatography B: Biomedical Sciences and Applications, Vol. 800, No. 1-2, 2004, pp. 41-47, and the hybridization of living cells with an electronic device has been discussed (I. Brondz, et al., International Scientific-Technical Conference Sensors Electronics and Microsystems Technology (SEMST-1), 1-5 June, (Odessa), Ukraine, 2004, Plenum Lecture, Abstract p. 17;I. Brondz, et al., The European Chemoreception Research Organization ECRO 2004 Congress, 12-15 September, (Dijon), France, 2004, Abstract P-3;and I. Brondz, et al., Biosensors as Electronic Compounds for Detector in the High-Performance Liquid Chromatography (HPLC), Electronic Components and Systems, Vol. 3, No. 103, 2006, pp. 25-27). In the present study, an HPLC equipped with an NPD was used to assess the influence of organophosphate (OP) pesticides on olfactory sensory nerves and the modification of nerve signals from the olfactory organ. The results show that exposure of the olfactory system to OP pesticides can lead to disruption of normal reflexes and to significant suppression of individual sexual activity and, as a result
文摘针对复杂场景下尺寸小、遮挡严重等因素导致车辆识别率低、虚警率高等难题,提出了一种基于深度学习的复杂场景下车辆识别方法。首先,根据复杂场景中的车辆特点,对公开数据集的标注文件进行可视化解析,对其中的漏标注、误标注等车辆进行重新标注,对图像样本数据进行增强处理,形成新的训练数据集;然后,用新的训练数据集训练YOLO(You Only Look Once)网络模型,直至模型满足给定精度;最后,用训练好的YOLO模型对复杂场景下的车辆进行识别,并用基于残差归一化规则的虚警抑制方法剔除虚警。实验结果表明,使用COCO数据集测试时,改进的算法平均精度均值(Mean Average Precision,m AP)为79.2,比YOLO算法提高了0.6;使用PCAR数据集测试时,改进的算法m AP值为63.7,比YOLO算法提高了1.4。
