Essays about: "Objektdetektering"

Showing result 1 - 5 of 62 essays containing the word Objektdetektering.

  1. 1. 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

  2. 2. CenterPoint-based 3D Object Detection in ONCE Dataset

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

    Author : Yuwei Du; [2022]
    Keywords : 3D Object Detection; Keypoint Detector; Class Balance; Self-Calibrated Convolution; IoU-aware Detector; Box Ensembles; 3D-Objektdetektering; Nyckelpunktsdetektor; Klassbalans; Självkalibrerad Faltning; IoU-medveten Detektor; Boxensembler;

    Abstract : High-efficiency point cloud 3D object detection is important for autonomous driving. 3D object detection based on point cloud data is naturally more complex and difficult than the 2D task based on images. Researchers keep working on improving 3D object detection performance in autonomous driving scenarios recently. READ MORE

  3. 3. Layout Analysis on modern Newspapers using the Object Detection model Faster R-CNN

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

    Author : Mikaela Funkquist; [2022]
    Keywords : Document Layout Analysis; Newspapers; Object Detection; Faster R-CNN; Deep Learning; Dokument Layout Analys; Tidningar; Objektdetektering; Faster R-CNN; Djupinlärning;

    Abstract : As society is becoming more and more digitized the amount of digital data is increasing rapidly. Newspapers are one example of this, that many Libraries around the world are storing as digital images. READ MORE

  4. 4. Incorporating Sparse Attention Mechanism into Transformer for Object Detection in Images

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

    Author : Cuong Duc Dao; [2022]
    Keywords : Detection Transformer; Sparse Attentions; Sparsity; Attention Mechanism; Learnable sparsity; Object Detection; Detektionstransformator; gles attention; gleshet; träningsbar gleshet; objektdetektion;

    Abstract : DEtection TRansformer, DETR, introduces an innovative design for object detection based on softmax attention. However, the softmax operation produces dense attention patterns, i.e., all entries in the attention matrix receive a non-zero weight, regardless of their relevance for detection. READ MORE

  5. 5. Performance Evaluation of Serverless Edge Computing for AI Applications : Implementation, evaluation and modeling of an object-detection application running on a serverless architecture implemented with Kubernetes

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

    Author : Zihan Wang; [2022]
    Keywords : Edge computing; Serverless architecture; Artificial Intelligence; Object detection; Docker; Kubernetes; Queueing theory; Edge computing; Serverlös arkitektur; Artificiell Intelligens; Objektdetektering; Docker; Kubernetes; Queuing theory;

    Abstract : Serverless edge computing is a distributed network and computing system in which the data is processed at the edge of the network based on serverless architecture. It can provide large-scale computing and storage resources with low latency, which are very useful in AI applications such as object detection. READ MORE