Essays about: "depth detection"

Showing result 1 - 5 of 143 essays containing the words depth detection.

1. 1. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

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

   Author : Xinchen Wang; [2024]
   Keywords : Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

   Abstract : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. READ MORE

3. 2. N-body simulations of exoplanets and their moons

   University essay from Lunds universitet/Astrofysik; Lunds universitet/Fysiska institutionen

   Author : Lydia Schollmeier; [2024]
   Keywords : Physics and Astronomy;

   Abstract : The planet-planet interactions in a many-planet system cannot be analytically calculated. Instead, they have to be investigated by using an N-body simulation. I discuss three questions about the N-body interactions in planetary systems: The first two are on the system 55 Cnc, a system with five known planets around a K-type star. READ MORE

4. 3. Modulating Depth Map Features to Estimate 3D Human Pose via Multi-Task Variational Autoencoders

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

   Author : Kobe Moerman; [2023]
   Keywords : 3D pose estimation; Joint landmarks; Variational autoencoder; Multi-task model; Loss discrimination; Latent-space modulation; Depth map; 3D-positionsuppskattning; Gemensamma landmärken; Variationell autoencoder; Multitask-modell; Förlustdiskriminering; Latent-space-modulering; Djupkarta;

   Abstract : Human pose estimation (HPE) constitutes a fundamental problem within the domain of computer vision, finding applications in diverse fields like motion analysis and human-computer interaction. This paper introduces innovative methodologies aimed at enhancing the accuracy and robustness of 3D joint estimation. READ MORE

5. 4. 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

6. 5. Biodiversity Monitoring Using Machine Learning for Animal Detection and Tracking

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

   Author : Qian Zhou; [2023]
   Keywords : Small Target Detection; Target Tracking; YOLOv5; DeepSORT; Attention Mechanism; Loss Function; Feature Extraction and Fusion Network; Detektering Av små sål; sålspårning; YOLOv5; DeepSORT; uppmärksamhetsmekanism; förlustfunktion; fusionsnätverk;

   Abstract : As an important indicator of biodiversity and ecological environment in a region, the number and distribution of animals has been given more and more attention by agencies such as nature reserves, wetland parks, and animal protection supervision departments. To protect biodiversity, we need to be able to detect and track the movement of animals to understand which animals are visiting the space. READ MORE