Essays about: "intra-class"

Showing result 1 - 5 of 10 essays containing the word intra-class.

1. 1. Enhancing person re-identification: leveraging DensePose for improving occlusion handling and generalization

   University essay from Lunds universitet/Matematik LTH

   Author : Björn Elwin; Anton Fredriksson; [2023]
   Keywords : Mathematics and Statistics;

   Abstract : In this master’s thesis we propose a DensePose-based person re-identification (re-ID) machine learning algorithm building upon previous research on this topic. DensePose, a deep neural network that performs human body part segmentation on images, forms the foundation of our approach. READ MORE

3. 2. Instance Segmentation for Printed Circuit Board (PCB) Component Analysis : Exploring CNNs and Transformers for Component Detection on Printed Circuit Boards

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

   Author : Oliver Möller; [2023]
   Keywords : Deep Learning; Computer Vision; Image Processing; Object Detection; Instance Segmentation; Printed Circuit Board PCB ; Djupinlärning; Datorseende; Bildbehandling; Objektdetektering; Instanssegmentering; Tryckt kretskort;

   Abstract : In the intricate domain of Printed Circuit Boards (PCBs), object detection poses unique challenges, particularly given the broad size spectrum of components, ranging from a mere 2 pixels to several thousand pixels within a single high-resolution image, often averaging 4000x3000 pixels. Such resolutions are atypical in the realm of deep learning for computer vision, making the task even more demanding. READ MORE

4. 3. Interactionwise Semantic Awareness in Visual Relationship Detection

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

   Author : Pagliarini Giovanni; Imtiaz Azfar; [2020-11-06]
   Keywords : Deep Learning; Natural Language Processing; Computer Vision; Visual Relationship Detection; Object Detection;

   Abstract : Visual Relationship Detection (VRD) is a relatively young research area, where the goal is to develop prediction models for detecting the relationships between objects depicted in an image. A relationship is modeled as a subject-predicate-object triplet, where the predicate (e.g an action, a spatial relation, etc. READ MORE

5. 4. Pushing the boundary of Semantic Image Segmentation

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

   Author : Shipra Jain; [2020]
   Keywords : Deep Learning; computer vision; semantic segmentation; metric learning; contrastive learning; Djup lärning; datorsyn; semantisk segmentering; metrisk inlärning; kontrastivt lärande;

   Abstract : The state-of-the-art object detection and image classification methods can perform impressively on more than 9k classes. In contrast, the number of classes in semantic segmentation datasets are fairly limited. This is not surprising , when the restrictions caused by the lack of labeled data and high computation demand are considered. READ MORE

6. 5. Improving Zero-Shot Learning via Distribution Embeddings

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

   Author : Vivek Chalumuri; [2020]
   Keywords : Zero-Shot Learning ZSL ; Generalized Zero-Shot Learning GZSL ; Image Classification; Metric Learning; Distribution Embeddings; Triplet Loss; Zero-shot lärande; Generaliserat zero-shot-lärande; Bildklassificering; Metrisk inlärning; Distribution inbäddningar; Triplet-förlust;

   Abstract : Zero-Shot Learning (ZSL) for image classification aims to recognize images from novel classes for which we have no training examples. A common approach to tackling such a problem is by transferring knowledge from seen to unseen classes using some auxiliary semantic information of class labels in the form of class embeddings. READ MORE