Zobrazeno 1 - 10
of 348
pro vyhledávání: '"panoptic segmentation"'
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
Panoptic segmentation plays a crucial role in enabling robots to comprehend their surroundings, providing fine-grained scene understanding information for robots' intelligent tasks. Although existing methods have made some progress, they are prone to
Externí odkaz:
https://doaj.org/article/4254205896c64117b25eeb87af1eb814
Publikováno v:
IEEE Access, Vol 12, Pp 177355-177367 (2024)
Panoptic segmentation, combining instance and semantic segmentation, provides comprehensive image understanding for various tasks. Achieving real-time performance with high accuracy is challenging. Recent panoptic segmentation models operate in real-
Externí odkaz:
https://doaj.org/article/bb94146f7dd24e948b8d092f0976070f
Publikováno v:
Remote Sensing, Vol 16, Iss 22, p 4194 (2024)
Semantic segmentation of vegetation in aerial remote sensing images is a critical aspect of vegetation mapping. Accurate vegetation segmentation effectively informs real-world production and construction activities. However, the presence of species h
Externí odkaz:
https://doaj.org/article/226251b1d7c8419d8154e70fd7779e54
Publikováno v:
Remote Sensing, Vol 16, Iss 21, p 4002 (2024)
Satellite remote sensing images contain complex and diverse ground object information and the images exhibit spatial multi-scale characteristics, making the panoptic segmentation of satellite remote sensing images a highly challenging task. Due to th
Externí odkaz:
https://doaj.org/article/611237c19eb84915aa63d6054aa2d3c6
Autor:
Pulipati Nagaraju, Arindam Dey
Publikováno v:
Measurement: Sensors, Vol 33, Iss , Pp 101236- (2024)
By enabling precise diagnoses and assisting in creating successful treatment regimens, teeth segmentation plays a crucial role in dentistry. The segmentation of teeth has been the primary emphasis of previous approaches, but they frequently ignore th
Externí odkaz:
https://doaj.org/article/dd067b07bf5541dc9f7bfa8c4bef402d
Publikováno v:
Jisuanji kexue yu tansuo, Vol 17, Iss 11, Pp 2605-2619 (2023)
With the continuous development of deep learning and image segmentation, image panoptic segmentation has become a research hotspot in the field of computer vision, and many image panoptic segmentation methods have been proposed. This paper summarizes
Externí odkaz:
https://doaj.org/article/4809f919d2ff491e98f76c956ab177ae
Publikováno v:
Smart Cities, Vol 6, Iss 4, Pp 1814-1831 (2023)
The automatic identification of various design elements in a floor-plan image has gained increasing attention in recent research. Emergency-evacuation applications can benefit greatly from automated floor-plan solutions, as they allow for the develop
Externí odkaz:
https://doaj.org/article/e603581b0fb4426db67a5dca61f18a5b
Publikováno v:
Algorithms, Vol 17, Iss 5, p 189 (2024)
Image understanding plays a pivotal role in various computer vision tasks, such as extraction of essential features from images, object detection, and segmentation. At a higher level of granularity, both semantic and instance segmentation are necessa
Externí odkaz:
https://doaj.org/article/57b1297d3aa94812899cd3f46d9125dd
Publikováno v:
Applied Sciences, Vol 14, Iss 9, p 3843 (2024)
Multi-sensor fusion is pivotal in augmenting the robustness and precision of simultaneous localization and mapping (SLAM) systems. The LiDAR–visual–inertial approach has been empirically shown to adeptly amalgamate the benefits of these sensors f
Externí odkaz:
https://doaj.org/article/73436a3a541b4fdf89c4d66ca3679045
Publikováno v:
IEEE Access, Vol 11, Pp 109142-109168 (2023)
Perception algorithms are essential for autonomous or semi-autonomous vehicles to perceive the semantics of their surroundings, including object detection, panoptic segmentation, and tracking. Decision-making in case of safety-critical situations, li
Externí odkaz:
https://doaj.org/article/5dc8f70a6a7f4990a50a85f5375f343e