Essays about: "Objektdetektering"

Showing result 21 - 25 of 79 essays containing the word Objektdetektering.

1. 21. 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

3. 22. 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

4. 23. Pruning a Single-Shot Detector for Faster Inference : A Comparison of Two Pruning Approaches

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

   Author : Karl Beckman; [2022]
   Keywords : Computer Vision; Object Detection; Single-Shot Detector; SSD-MobileNetV2; Iterative Pruning; Datorseende; Objektdetektering; Enstegsdetektor; SDD-MobileNet-V2; Iterativ Beskärning;

   Abstract : Modern state-of-the-art object detection models are based on convolutional neural networks and can be divided into single-shot detectors and two-stage detectors. Two-stage detectors exhibit impressive detection performance but their complex pipelines make them slow. READ MORE

5. 24. The V-SLAM Hurdler : A Faster V-SLAM System using Online Semantic Dynamic-and-Hardness-aware Approximation

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

   Author : Liu Mingxuan; [2022]
   Keywords : Approximate Computing; Deep Learning; Dynamic Environments; Object Detection; Online Controller; Semantic SLAM; Ungefärlig Beräkning; Djup Lärning; Dynamiska miljöer; Objektdetektion; Online Kontroller; Semantisk SLAM;

   Abstract : Visual Simultaneous Localization And Mapping (V-SLAM) and object detection algorithms are two critical prerequisites for modern XR applications. V-SLAM allows XR devices to geometrically map the environment and localize itself within the environment, simultaneously. READ MORE

6. 25. News article segmentation using multimodal input : Using Mask R-CNN and sentence transformers

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

   Author : Gustav Henning; [2022]
   Keywords : Historical newspapers; Image segmentation; Multimodal learning; Deep learning; Digital humanities; Mask R-CNN; Historiska tidningar; Bildsegmentering; Multimodal inlärning; Djupinlärning; Digital humaniora; Mask R-CNN;

   Abstract : In this century and the last, serious efforts have been made to digitize the content housed by libraries across the world. In order to open up these volumes to content-based information retrieval, independent elements such as headlines, body text, bylines, images and captions ideally need to be connected semantically as article-level units. READ MORE