[PDF] Top 20 A study on the detection of cattle in UAV images using deep learning
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A study on the detection of cattle in UAV images using deep learning
... extensive cattle farming, as production areas tend to be expansive and animals tend to be more loosely ...of deep learning, and Convolutional Neural Networks (CNNs) in particular, extracting relevant ... See full document
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CRACK DAMAGE DETECTION IN UNMANNED AERIAL VEHICLE IMAGES OF CIVIL INFRASTRUCTURE USING PRE-TRAINED DEEP LEARNING MODEL
... pre-trained Deep Convolutional Neural Network (DCNN) model with transfer learning for automated crack detection in UAV ...images. Deep Learning (DL) has recently been used ... See full document
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Deep person re identification in UAV images
... channel learning and combination of different loss functions, which can effectively tackle the re-id ...group learning is used to extract discriminative features of each channel group from the global ... See full document
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An experimental study on breast lesion detection and classification from ultrasound images using deep learning architectures
... Fast R-CNN R-CNN [36] and Spatial Pyramid Pooling Net [37] using CNN to classify region proposals, and achieves excellent object detection accuracy. However, two major issues still exist: i) the training ... See full document
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UAV based slope failure detection using deep learning convolutional neural networks
... of using the MB box method for CNN sample patch selection have been previously described by Zhang et ...failure, using this detection method leads to a large increase in the number of neighboring ... See full document
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A Deep Transfer Learning Model with Classical Data Augmentation and CGAN to Detect COVID-19 from Chest CT Radiography Digital Images
... The detection of COVID-19 using artificial intelligence techniques and especially deep learning will help to detect this virus in early stages which will reflect in increasing the ... See full document
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<p>Deep Learning in CT Images: Automated Pulmonary Nodule Detection for Subsequent Management Using Convolutional Neural Network</p>
... (HIPAA) study was approved by the institution review board and the need for informed consent was ...by using pseudorandom numbers generated from the random func- tion in the Python Standard Library (Python ... See full document
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Deep Learning with unsupervised data labeling for weeds detection on UAV images
... Figure 6. Example of images taken in the bean (a) and spinach fields (b). The bean field has less interline weeds and is predominately composed of potential weeds. The inter-row distance is stable and the plant is ... See full document
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Object Detection from Images Using Deep Learning
... ~4k images form 10 difference classes and we chose ~2.5k images for training and another ...image using Faster R-CNN methods, the categories is of Scottish deerhound, afghan hound, basset, Saluki, ... See full document
6
Calcification Detection of Coronary Artery Disease in Intravascular Ultrasound Image: Deep Feature Learning Approach
... this study, our aim is to detect the presence and the absence of the calcification in the coronary artery using intravascular ultrasound (IVUS) images with catheter frequency of ...IVUS images ... See full document
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Object Detection in an Image using Deep Learning
... object detection supported deep learning is a vital application in deep learning technology, that is characterised by its robust capability of feature learning and have ... See full document
6
Forword Collision Warning System Based on Tensor Flow
... Tensorflow Detection API brings together a lot of the aforementioned ideas together in a single package, allowing you to quickly iterate over different configurations using the Tensorflow ...object ... See full document
5
Comprehensive Study on Despeckling of PolSAR ...
... Polarimetric synthetic aperture radar is an extension of Synthetic Aperture Radar (SAR) which is used to create 2D or 3D images in different polarization. It uses motion of radar antenna to the target object to ... See full document
6
Integrated Management System For Sugarcane Disease Using Deep Learning Techniques-A Review
... for deep learning in a top - down and bottom-up and the plant ...[7], deep multiple instance learning (DMIL-WDDS) framework for the wheat disease diagnosis it aims to deal with the in-field ... See full document
5
Wind Turbine Maintenance Cost Reduction by Deep Learning Aided Drone Inspection Analysis
... 27. Abadi, M.; Agarwal, A.; Barham, P.; Brevdo, E.; Chen, Z.; Citro, C.; Corrado, G.S.; Davis, A.; Dean, J.; Devin, M.; Ghemawat, S.; Goodfellow, I.; Harp, A.; Irving, G.; Isard, M.; Jia, Y.; Jozefowicz, R.; Kaiser, L.; ... See full document
14
Detection of Mobile Keyloggers Using Deep Learning
... Abstract: Keylogger is a tool which is used to record every keystroke made on the machine. It is used for gaining sensitive information without the knowledge of the owner by the attacker or any cybercriminal. By ... See full document
5
Automated Detection of Gender from Face Images
... camera images to know child molesters and the same can be used for verifying the court records thereby minimizing victim ...Machine Learning - supervised, Image Processing - Digital images of the ... See full document
5
Preprocessing Medical Images for Classification using Deep Learning Techniques
... X-ray images, Initially 360 normal images and 700 images consisting of various Pathology images are saved in two folders that are labeled with their specific Pathology name ...original ... See full document
6
Mosquito Larvae Detection using Deep Learning
... The acquired data will be separated into different folders named ‘test_set’, ‘training_set’ and ‘validation_set’. Each folder set has 2 subfolders called Aedes and Non-Aedes containing their respective images. All ... See full document
6
Animate Object Detection Using Deep Learning
... With the dataset prepared, we create the corresponding label maps. Then we generate the TFRecord file format. The instructions should be self-explanatory to cover this segment. Sample configs can be found in object ... See full document
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