Zobrazeno 1 - 10
of 33 132
pro vyhledávání: '"Instance segmentation"'
Autor:
Liu, Shuangzhou1,2,3 (AUTHOR) liushuzngzhou22@mails.ucas.ac.cn, Wang, Feng1,2 (AUTHOR) hjyou@mail.ie.ac.cn, You, Hongjian1,2,3 (AUTHOR) jiaoniangang16@mails.ucas.ac.cn, Jiao, Niangang1,2 (AUTHOR) zhougy@aircas.ac.cn, Zhou, Guangyao1,2 (AUTHOR) zhangtt003143@aircas.ac.cn, Zhang, Tingtao1,2 (AUTHOR)
Publikováno v:
Remote Sensing. Jul2024, Vol. 16 Issue 13, p2472. 27p.
Publikováno v:
European Conference on Computer Vision (ECCV) Workshops, Milan, Italy 2024
Enabled by large annotated datasets, tracking and segmentation of objects in videos has made remarkable progress in recent years. Despite these advancements, algorithms still struggle under degraded conditions and during fast movements. Event cameras
Externí odkaz:
http://arxiv.org/abs/2409.03358
Autor:
Shatri, Elona, Fazekas, George
Optical Music Recognition (OMR) automates the transcription of musical notation from images into machine-readable formats like MusicXML, MEI, or MIDI, significantly reducing the costs and time of manual transcription. This study explores knowledge di
Externí odkaz:
http://arxiv.org/abs/2408.15002
Open-Vocab 3D Instance Segmentation methods (OV-3DIS) have recently demonstrated their ability to generalize to unseen objects. However, these methods still depend on predefined class names during testing, restricting the autonomy of agents. To mitig
Externí odkaz:
http://arxiv.org/abs/2408.11747
Most recent 3D instance segmentation methods are open vocabulary, offering a greater flexibility than closed-vocabulary methods. Yet, they are limited to reasoning within a specific set of concepts, \ie the vocabulary, prompted by the user at test ti
Externí odkaz:
http://arxiv.org/abs/2408.10652
Autor:
Bhalgat, Yash, Tschernezki, Vadim, Laina, Iro, Henriques, João F., Vedaldi, Andrea, Zisserman, Andrew
Egocentric videos present unique challenges for 3D scene understanding due to rapid camera motion, frequent object occlusions, and limited object visibility. This paper introduces a novel approach to instance segmentation and tracking in first-person
Externí odkaz:
http://arxiv.org/abs/2408.09860
Open-vocabulary 3D instance segmentation transcends traditional closed-vocabulary methods by enabling the identification of both previously seen and unseen objects in real-world scenarios. It leverages a dual-modality approach, utilizing both 3D poin
Externí odkaz:
http://arxiv.org/abs/2408.08591
Tuning a SAM-Based Model with Multi-Cognitive Visual Adapter to Remote Sensing Instance Segmentation
The Segment Anything Model (SAM), a foundational model designed for promptable segmentation tasks, demonstrates exceptional generalization capabilities, making it highly promising for natural scene image segmentation. However, SAM's lack of pretraini
Externí odkaz:
http://arxiv.org/abs/2408.08576
Instance segmentation is an advanced form of image segmentation which, beyond traditional segmentation, requires identifying individual instances of repeating objects in a scene. Mask R-CNN is the most common architecture for instance segmentation, a
Externí odkaz:
http://arxiv.org/abs/2407.21498
Manually annotating nuclei from the gigapixel Hematoxylin and Eosin (H&E)-stained Whole Slide Images (WSIs) is a laborious and costly task, meaning automated algorithms for cell nuclei instance segmentation and classification could alleviate the work
Externí odkaz:
http://arxiv.org/abs/2407.18673