CSE576: Computer Vision Catalog Description: Overview of computer vision, emphasizing the middle ground between image processing and artificial intelligence. Image formation, preattentive image processing, boundary and region representations, and case studies of vision architectures.
view more2022128 · Approaches for measuring embedding/vector drift for unstructured data, including for computer vision and natural language processing models
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view more202473 · In computer vision we can’t measure drift on images directly, as the individual pixel has little value when estimating drift. Also, labels in computer vision are sometimes complex structures as well (for example, in object detection, an image can have any number of bounding boxes).
view more199281 · A computer model to calculate potential eolian sand drift rates. Applied computing. Physical sciences and engineering. Earth and atmospheric sciences. Computing methodologies. Modeling and simulation. Symbolic and algebraic manipulation. Symbolic and algebraic algorithms. Linear algebra algorithms.
view more2024429 · This Computer Vision tutorial is designed for both beginners and experienced professionals, covering both basic and advanced concepts of computer vision, including Digital Photography, Satellite Image Processing, Pixel Transformation, Color Correction, Padding, Filtering, Object Detection and Recognition, and Image Segmentation.
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view more2024220 · A variety of factors can cause eye irritation. Learn about the different causes and how to treat them.
view more202474 · Preventing and controlling soil erosion, sediment runoff and sand drift from building, subdivision and construction sites is a significant issue for Local Governments (LGs). The environmental and financial impacts are considerable, and these are managed by Local Governments across Western Australia in diverse ways to varying levels of success.
view more2022623 · Visual SLAM (VSLAM) has been developing rapidly due to its advantages of low-cost sensors, the easy fusion of other sensors, and richer environmental information. Traditional visionbased SLAM research has made many achievements, but it may fail to achieve wished results in challenging environments. Deep learning has promoted the …
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