Essays about: "Semi-Supervised Object Detection"

Showing result 1 - 5 of 8 essays containing the words Semi-Supervised Object Detection.

  1. 1. Applicability of Detection Transformers in Resource-Constrained Environments : Investigating Detection Transformer Performance Under Computational Limitations and Scarcity of Annotated Data

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

    Author : Altan Senel; [2023]
    Keywords : Deep Learning; Computer Vision; Self-supervised Learning; Object Detection; Scene Graph Generation;

    Abstract : Object detection is a fundamental task in computer vision, with significant applications in various domains. However, the reliance on large-scale annotated data and computational resource demands poses challenges in practical implementation. READ MORE

  3. 2. Semi-Supervised Head Detection for Low Resolution Images

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

    Author : Annie Biby Rapheal; [2023]
    Keywords : Object detection; Semi Supervised Learning; Head detection; Objektdetektion; Semisupervised Learning; Huvuddetektion;

    Abstract : Object detection is a widely researched and applied field in computer vision. Deep learning models have successfully been used for object detection over the years. The performance of State of the art (SOTA) object detection deep learning models is dependent on the number of labeled images. READ MORE

  4. 3. Semi-Supervised Plant Leaf Detection and Stress Recognition

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

    Author : Márk Antal Csizmadia; [2022]
    Keywords : Deep Learning; Object Detection; Semi-Supervised Learning; Semi-Supervised Object Detection; Computer Vision; Djupinlärning; Objektdetektering; Semi-övervakad inlärning; Semi-övervakad objektdetektering; datorseende;

    Abstract : One of the main limitations of training deep learning-based object detection models is the availability of large amounts of data annotations. When annotations are scarce, semi-supervised learning provides frameworks to improve object detection performance by utilising unlabelled data. READ MORE

  5. 4. Training a computer vision model using semi-supervised learning and applying post-training quantizations

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

    Author : Albernn Vedin; [2022]
    Keywords : Machine learning; Object detection; Computer vision; Neural network; Semi-supervised learning; Post-training quantizations; Embedded systems; Electrical scooters;

    Abstract : Electrical scooters have gained a lot of attention and popularity among commuters all around the world since they entered the market. After all, electrical scooters have shown to be efficient and cost-effective mode of transportation for commuters and travelers. READ MORE

  6. 5. Application of Machine Learning Algorithms for Post Processing of Reference Sensors

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : VASILIKI LAMPROUSI; [2021-04-01]
    Keywords : Object detection; machine learning; camera; sensors; semi-supervised learning;

    Abstract : The Autonomous Drive (AD) systems and Advanced Driver Assistance Systems (ADAS) in the current and future generations of vehicles include a large number of sensors which are used to perceive the vehicle’s surroundings. The production sensors of these vehicles are verified and validated against reference data that are originated from high-accurate reference sensors that are placed in a reference roof box at the top of the vehicle. READ MORE