Zobrazeno 1 - 10
of 840
pro vyhledávání: '"video object segmentation"'
Publikováno v:
IEEE Access, Vol 12, Pp 97067-97084 (2024)
Recent state-of-the-art semi-supervised Video Object Segmentation (VOS) methods have shown significant improvements in target object segmentation accuracy when information from preceding frames is used in segmenting the current frame. In particular,
Externí odkaz:
https://doaj.org/article/b6390d2506e047a8a5d2a97ca9ad2b8f
Publikováno v:
IEEE Access, Vol 12, Pp 73218-73227 (2024)
Video object segmentation models have gained impressive performance, but present low interactivity with different prompts, such as click, box or text. Some models combined with SAM in a naive manner to enhance this ability, which achieve a limited pe
Externí odkaz:
https://doaj.org/article/4897b3c9d7b4406391a8eb2b53be858b
Publikováno v:
Advanced Ultrasound in Diagnosis and Therapy, Vol 7, Iss 4, Pp 333-347 (2023)
Real-time intelligent segmentation of ultrasound video object is a demanding task in the field of medical image processing and serves as an essential and critical step in image-guided clinical procedures. However, obtaining reliable and accurate medi
Externí odkaz:
https://doaj.org/article/ab9fa9e3256c4e2faa499b17d7d8053f
Publikováno v:
ETRI Journal, Vol 45, Iss 5, Pp 795-810 (2023)
Unmanned aerial vehicles (UAV) and ground vehicles (UGV) require advanced video analytics for various tasks, such as moving object detection and segmentation; this has led to increasing demands for these methods. We propose a zero-shot video object s
Externí odkaz:
https://doaj.org/article/416c9f460e004621b38e81f0bd480aff
Publikováno v:
Sensors, Vol 24, Iss 16, p 5375 (2024)
Referring video object segmentation (R-VOS) is a fundamental vision-language task which aims to segment the target referred by language expression in all video frames. Existing query-based R-VOS methods have conducted in-depth exploration of the inte
Externí odkaz:
https://doaj.org/article/9e36b5651e1e4bde895508fe7cb1dfdb
Publikováno v:
IEEE Access, Vol 11, Pp 126634-126642 (2023)
Tracking multiple states of the target simultaneously is currently a research hotspot in object tracking. Existing methods obtain the initial bounding box with multi-scale search, anchor-based regression, or anchor-free regression. Then, each pixel w
Externí odkaz:
https://doaj.org/article/65c1f62e3de14e098ac874353e0d98b8
Publikováno v:
Computational Visual Media, Vol 9, Iss 2, Pp 385-400 (2023)
Abstract We present a lightweight and efficient semi-supervised video object segmentation network based on the space-time memory framework. To some extent, our method solves the two difficulties encountered in traditional video object segmentation: o
Externí odkaz:
https://doaj.org/article/7d5d3ec2af2647289d1a1e429ee4735c
Autor:
Maftouni, Maede
In recent years, deep learning has revolutionized computer vision and natural language processing tasks, but the black-box nature of these models poses significant challenges for their interpretability and reliability, especially in critical applicat
Externí odkaz:
http://hdl.handle.net/10919/115755
Publikováno v:
Mathematics, Vol 12, Iss 6, p 863 (2024)
Existing video object segmentation (VOS) methods based on matching techniques commonly employ a reference set comprising historical segmented frames, referred to as ‘memory frames’, to facilitate the segmentation process. However, these methods s
Externí odkaz:
https://doaj.org/article/5a6e776208854ebdab673259c6996b7c
Publikováno v:
Applied Sciences, Vol 14, Iss 5, p 2002 (2024)
The purpose of semi-supervised video object segmentation (VOS) is to predict and generate object masks in subsequent video frames after being provided with the initial frame’s object mask. Currently, mainstream methods leverage historical frame inf
Externí odkaz:
https://doaj.org/article/496d48e17d634f28ad3fa3a58be1114d