Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 8 of 8 for “"small object detection"”.
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Hierarchical transfer learning for small object detection
Object detection faces a formidable challenge in detecting small objects due to their diminutive size and sparse pixel representation. This difficulty is exacerbated by the common lack of resolution in images, making the task of distinguishing small objects complex. Annotating data for training …
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Small Object Detection and Recognition Using Context and Representation Learning
Small object detection and recognition is very common in real world applications, such as remote sensing images analysis for Earth Vision, Unmanned Aerial Vehicle vision and video surveillance for identity recognition. Recently, the existing methods have achieved impressive results on large and …
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Obstacle Detection and Avoidance System for Unmanned Aerial Vehicles Based on Monocular Camera
… Algorithms like YOLO (You Only Look Once) for object detection and pathfinding algorithms like A* (A-Star) can quickly navigate around large, static objects like buildings or trees. However, detecting small objects and handling dynamic aerial environments remain challenging. To address this, we …
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Multiple scale sharing faster-RCNN
The student, Siwei Tang, submitted this Thesis for approval on 2019-04-24 at 10:10.
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A study on the effect of target object size in object detection
… increase in the efficiency and accuracy of object detection models through the use of Region-based Convolutional Neural Networks (RCNN). Studies have been carried out to improve object detection models. However, the detection of small objects still poses numerous challenges for the said …
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Distributed On-line Training for Object Detection on Embedded Devices.
… we develop a scalable distributed approach for object detection model training and inference, using low cost embedded devices. Examples of the usage of such an approach is automatic beach litter collection using mobile robots, IoT based intelligent video surveillance system for traffic …
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Cognitive feature fusion for effective pattern recognition in multi-modal images and videos
Image retrieval and object detection have been always popular topics in computer vision, wherein feature extraction and analysis plays an important role. Effective feature descriptors can represent the characteristics of the images and videos, however, for various images and videos, single feature …