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Showing result 1 - 5 of 117 essays matching the above criteria.

  1. 1. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Xinchen Wang; [2024]
    Keywords : Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

    Abstract : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. READ MORE

  3. 2. Perceptual Sensitivity to Video Degradations in a Simulated Cloud-Gaming Environment: An Empirical Study through Subjective Tests

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Boli Gao; [2023]
    Keywords : ;

    Abstract : Cloud gaming, often referred to as gaming on demand or game streaming, is a contemporary form of online gaming. It operates by running video games on powerful, remote servers and streaming them in realtime directly to a user’s device. READ MORE

  4. 3. Simulating metal ct artefacts for ground truth generation in deep learning.

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : Arthur Barakat; [2023]
    Keywords : Technology and Engineering;

    Abstract : CT scanning stands as one of the most employed imaging techniques used in clinical field. In the presence of metal implants in the field of view (FOV), distortions and noise appear on the 3D image leading to inaccurate bone segmentation, often required for surgery planning or implant design. READ MORE

  5. 4. RocksDB Read Optimization Strategies for Streaming Applications

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Björkman Fredrik; [2023]
    Keywords : RocksDB; Data streams; Micro-batching; Data stream processing; read operation benchmark; Data stream workload simulation; RocksDB; Dataströmmar; Mikro-batching; Dataströmsprocessering; Läsoperationsmätresultat; Dataströmsarbetsbelastningssimulation;

    Abstract : Modern stream processors rely on embedded key-value stores to manage state that accumulates over long-running computations and exceeds the available memory size. One of these key-value stores is RocksDB, which is widely used in many applications requiring high-performing storage with low latency. READ MORE

  6. 5. Server-side factor graph optimization for on-manifold pre-integration in IoT sensors

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Samuel Gradén; [2023]
    Keywords : Edge computing; IoT; optimization; tracking; drone;

    Abstract : State and specifically location estimation is a core concept in automation and is a well-researched field. One such estimation technique is Moving Horizon Estimation (MHE). In this thesis, the MHE variant single-shooting estimation will estimate the location and velocity of a moving object. READ MORE