Essays about: "CBIR"

Showing result 1 - 5 of 6 essays containing the word CBIR.

  1. 1. Object Based Image Retrieval Using Feature Maps of a YOLOv5 Network

    University essay from KTH/Matematisk statistik

    Author : Hugo Essinger; Alexander Kivelä; [2022]
    Keywords : Content based image retrieval; CBIR; Object based image retrieval; OBIR; image retrieval; YOLO; YOLOv5; object detection; PyTorch; deep learning; convolutional neural network; CNN; Content based image retrieval; CBIR; Object based image retrieval; OBIR; image retrieval; YOLO; YOLOv5; object detection; PyTorch; deep learning; convolutional neural network; CNN;

    Abstract : As Machine Learning (ML) methods have gained traction in recent years, someproblems regarding the construction of such methods have arisen. One such problem isthe collection and labeling of data sets. Specifically when it comes to many applicationsof Computer Vision (CV), one needs a set of images, labeled as either being of someclass or not. READ MORE

  3. 2. Self-Supervised Representation Learning for Content Based Image Retrieval

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Hariprasath Govindarajan; [2020]
    Keywords : Content Based Image Retrieval; CBIR; Representation Learning; Self Supervised Learning; Unsupervised Learning; Attention Mechanism; Noise Contrastive Estimation; Autonomous Driving;

    Abstract : Automotive technologies and fully autonomous driving have seen a tremendous growth in recent times and have benefitted from extensive deep learning research. State-of-the-art deep learning methods are largely supervised and require labelled data for training. READ MORE

  4. 3. Deep Learning for Object Detection and Retrieval with Intel's NCS - as part of Autonomous Wheelchair Navigation

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Georgios Tsiatsios; [2019]
    Keywords : ;

    Abstract : Deep Learning is one of the most approved research trends currently and has brought revolutionary advances in several computer vision applications. Its versatility and robustness motivated us to develop a project which consists of real-time object detection and object retrieval, as part of autonomous wheelchair navigation. READ MORE

  5. 4. Comparing SIFT and SURF : Performance on patent drawings

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Christian Lindqvist; [2017]
    Keywords : ;

    Abstract : In recent time, it has been found that one can use the images contained in patents in order to organize large collections of patents. This can be very helpful in order to reduce the time and resources required for handling patents. Research has resulted in systems that can find and compare specific images using content-based image retrieval (CBIR). READ MORE

  6. 5. Taxonomy Based Image Retrieval : Taxonomy Based Image Retrieval using Data from Multiple Sources

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : Jimmy Larsson; [2016]
    Keywords : Taxonomy; Image Retrieval; TBIR; CBIR; WordNet; Text-Based Image Search; Content-Based Image Search;

    Abstract : With a multitude of images available on the Internet, how do we find what we are looking for? This project tries to determine how much the precision and recall of search queries is improved by using a word taxonomy on traditional Text-Based Image Search and Content-Based Image Search. By applying a word taxonomy to different data sources, a strong keyword filter and a keyword extender were implemented and tested. READ MORE