Essays about: "image analyze"
Showing result 16 - 20 of 289 essays containing the words image analyze.
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16. Image-Guided Zero-Shot Object Detection in Video Games : Using Images as Prompts for Detection of Unseen 2D Icons
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Object detection deals with localization and classification of objects in images, where the task is to propose bounding boxes and predict their respective classes. Challenges in object detection include large-scale annotated datasets and re-training of models for specific tasks. READ MORE
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17. Cell Identification from Microscopy Images using Deep Learning on Automatically Labeled Data
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : In biology, cell counting provides a fundamental metric for live-cell experiments. Unfortunately, most researchers are constrained to using tedious and invasive methods for counting cells. Automatic identification of cells in microscopy images would therefore be a valuable tool for such researchers. READ MORE
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18. The Image of Authorized Auditors in Relation to Audit Quality and Professional and Client Identification : A Swedish Quantitative Study
University essay from Jönköping University/IHH, FöretagsekonomiAbstract : Abstract Background: Auditors play a crucial role in financial statements. This paper discusses auditor image and its relationship with audit quality, professional identification, and client identification. Preserving a favorable auditor image can lead to auditor leniency, compromising the integrity of financial reporting. READ MORE
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19. Using Approximate Computing Circuits to Optimize Power of an ASIC
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : The growing demand for network cameras to support real-time image processing and machine-learning applications has created a need for low-power solutions. Although technology scaling makes complex computations feasible, voltage scaling is limited, leading to higher power density and dark silicon problems. READ MORE
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20. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. READ MORE