Essays about: "r-cnn"

Showing result 1 - 5 of 73 essays containing the word r-cnn.

1. 1. Leveraging CNN for Automated Peak Picking in Untargeted Metabolomics without Parameter Dependencies

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

   Author : Vivian Wang; Lidia Yalew; [2023-10-19]
   Keywords : Deep learning; Convolutional neural network; LC-MS; Peak Detection; Metabolomics; Faster R-CNN;

   Abstract : Metabolomics is a scientific discipline that involves the thorough analysis of small molecules, known as metabolites, found within a biological system. Furthermore, liquid chromatography-mass spectrometry (LC-MS) is a commonly used analytical technique in metabolomics for analysing biological samples due to its broad coverage of the measurable metabolome. READ MORE

3. 2. Instance segmentation using 2.5D data

   University essay from Linköpings universitet/Institutionen för systemteknik

   Author : Jonathan Öhrling; [2023]
   Keywords : instance segmentation; multi-modality; segmentation; multi-modality fusion; CNN; RGBD; ToF; Mask R-CNN; RTMDet; MMDetection; COCO; NYUDepth;

   Abstract : Multi-modality fusion is an area of research that has shown promising results in the domain of 2D and 3D object detection. However, multi-modality fusion methods have largely not been utilized in the domain of instance segmentation. READ MORE

4. 3. Object Recognition and Tracking of Bolts: A Comparative Analysis of CNN Models and Computer Vision Techniques : A Comparison of CNN Models and Tracking Algorithms

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

   Author : Serhat Bulun; [2023]
   Keywords : ;

   Abstract : The newer generation industry 4.0 focuses on development of both flexibility and autonomy for power tools used by companies in different mechanical areas and assembly lines. One area for automation is the application of computer vision in power tools to detect, identify and track bolts. READ MORE

5. 4. Optimization of Speed vs. Accuracy Trade-off in State-of-the-Art Object Detectors for Traffic Light Detection

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

   Author : Vikash Lal Dodani; [2023]
   Keywords : Machine Learning; Computer Vision; Traffic Lights Detection; Self-Driving Cars; BOSCH; BSTLD; LISA;

   Abstract : Traffic lights detection systems are an important area of research, aimed towards improving the accuracy and response time of self-driving vehicles when faced with traffic signals. This project attempted to find a solution for the speed-accuracy trade-off faced by traffic light detection systems. READ MORE

6. 5. A Comparison of Advanced DeepLearning Algorithms for Multi-digit Detection in Historical Documents

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Manaswini Chethireddy; Sai Teja Palla; [2023]
   Keywords : Deep Learning Methods; Handwritten digits; Digit Detection; Image processing on document images; YOLOV5; Faster R-CNN; RetinaNet; YOLOV7;

   Abstract : Background: Historical handwritten documents are assets for future generations and should be appropriately secured, so handwritten digit detection plays an important role to preserve them. Handwritten digit detection is a fundamental problem and has been studied extensively for many years. READ MORE