Essays about: "domänadaption"
Found 4 essays containing the word domänadaption.
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1. Domain Adaptation Of Front View Synthetic Point Clouds Using GANs For Autonomous Driving
University essay from KTH/Väg- och spårfordon samt konceptuell fordonsdesignAbstract : The perception of the environment is one of the main enablers of Autonomous Driving and is driven by Cameras, RADAR, and LiDAR sensors. Deep Learning algorithms used in perception need a vast amount of labeled, high-quality data which is costly to obtain for LiDAR sensors. READ MORE
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2. Data Synthesis in Deep Learning for Object Detection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep neural networks typically require large amounts of labeled data for training, but a problem is that collecting data can be expensive. Our study aims at revealing insights into how training with synthetic data affects performance in real-world object detection tasks. READ MORE
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3. Musical Instrument Activity Detection using Self-Supervised Learning and Domain Adaptation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the ever growing media and music catalogs, tools that search and navigate this data are important. For more complex search queries, meta-data is needed, but to manually label the vast amounts of new content is impossible. READ MORE
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4. Domain Adaptation of IMU sensors using Generative Adversarial Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Autonomous vehicles rely on sensors for a clear understanding of the environment and in a heavy duty truck, the sensors are placed at multiple locations like the cabin, chassis and the trailer in order to increase the field of view and reduce the blind spot area. Usually, these sensors perform best when they are stationary relative to the ground, hence large and fast movements, which are quite common in a truck, may lead to performance reduction, erroneous data or in the worst case, a sensor failure. READ MORE