1. Recognizing visual object categories with subspace methods and a learned hierarchical shape vocabularySanja Fidler, 2010, doktorska disertacija Ključne besede: computer vision, subspace methods, robust classification, visual object class recognition and detection, visual learning, hierarchical representation, part-based representations, compositional hierarchies Celotno besedilo (datoteka, 9,71 MB) |
2. Object detection with constellations of keypointsDomen Rački, 2015, magistrsko delo Ključne besede: one-shot learning, keypoints, geometry, variance, constellation, object detection, SIFT, GHT, MLESAC, MND, computer science, computer and information science, master's degree Celotno besedilo (datoteka, 10,85 MB) |
3. Computer-vision based polyp detection in underwater imagesKristijan Shirgoski, 2015, diplomsko delo Ključne besede: object detection, computer vision, machine learning, ACF, CNN, SVM, regression, non-maximum suppression Celotno besedilo (datoteka, 10,74 MB) |
4. Effectiveness of a time to fixate for fitness to drive evaluation in neurological patientsNadica Miljković, Jaka Sodnik, 2024, izvirni znanstveni članek Ključne besede: eye tracker, driving simulation, neurology patients, fitness to drive, object detection, time to fixate Celotno besedilo (datoteka, 1,34 MB) Gradivo ima več datotek! Več... |
|
6. An approximate GEMM unit for energy-efficient object detectionRatko Pilipović, Vladimir Risojević, Janko Božič, Patricio Bulić, Uroš Lotrič, 2021, izvirni znanstveni članek Ključne besede: approximate computing, logarithmic multiplier, computer arithmetic, energy-efficient processing, tensor core, approximate general matrix multiplication, GEMM, matrix core, approximate multipliers, convolutional neural networks, object detection, YOLOv4-tiny, honeybee detection Celotno besedilo (datoteka, 4,22 MB) Gradivo ima več datotek! Več... |
|
|
|
10. Introductory computer vision teaching materials for VET educationVasja Lev Kirn, Žiga Emeršič, Gregor Hrastnik, Nataša Meh Peer, Peter Peer, 2024, objavljeni strokovni prispevek na konferenci Ključne besede: computer vision, Python Notebook, object detection, teaching material, segmentation Celotno besedilo (datoteka, 608,47 KB) |