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   Articles with "panoptic segmentation" as a keyword



Lidar Panoptic Segmentation in an Open World

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recommendations! Published in 2024 at "International Journal of Computer Vision"

DOI: 10.1007/s11263-024-02166-9

Abstract: Addressing Lidar Panoptic Segmentation (LPS) is crucial for safe deployment of autnomous vehicles. LPS aims to recognize and segment lidar points w.r.t. a pre-defined vocabulary of semantic classes, including thing classes of countable objects (e.g.,… read more here.

Keywords: segmentation; class; panoptic segmentation; lidar panoptic ... See more keywords
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Learning Panoptic Segmentation Through Feature Discriminability

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recommendations! Published in 2022 at "Pattern Recognition"

DOI: 10.1016/j.patcog.2021.108240

Abstract: Abstract Panoptic segmentation has attracted increasing attention as a joint task of semantic and instance segmentation. However, previous works have not noticed that the different requirements for semantic and instance segmentation can lead to conflict… read more here.

Keywords: feature discriminability; segmentation; instance segmentation; instance ... See more keywords

C-YOSO: Contrastive Query on Real-Time Panoptic Segmentation

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3506558

Abstract: 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-time but frequently deal with low accuracy… read more here.

Keywords: real time; segmentation; accuracy; query ... See more keywords

An Improved Shared Encoder-Based Model for Fast Panoptic Segmentation

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recommendations! Published in 2024 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2023.3332354

Abstract: Panoptic segmentation aims to generate coherent scene segmentation by unifying semantic segmentation and instance segmentation, which is one of the important tasks in the scene perception and understanding for the unmanned autonomous system. Deep learning… read more here.

Keywords: shared encoder; segmentation; based model; improved shared ... See more keywords

Rethinking Panoptic Segmentation in Remote Sensing: A Hybrid Approach Using Semantic Segmentation and Non-Learning Methods

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3172207

Abstract: This letter proposes a novel method to obtain panoptic predictions by extending the semantic segmentation task with a few non-learning image processing steps, presenting the following benefits: 1) annotations do not require a specific format… read more here.

Keywords: remote sensing; segmentation; non learning; panoptic segmentation ... See more keywords

Panoster: End-to-End Panoptic Segmentation of LiDAR Point Clouds

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recommendations! Published in 2021 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2021.3060405

Abstract: Panoptic segmentation has recently unified semantic and instance segmentation, previously addressed separately, thus taking a step further towards creating more comprehensive and efficient perception systems. In this letter, we present Panoster, a novel proposal-free panoptic… read more here.

Keywords: point clouds; panoptic segmentation; lidar point; segmentation ... See more keywords

Uncertainty-Aware Panoptic Segmentation

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recommendations! Published in 2022 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2023.3256926

Abstract: Reliable scene understanding is indispensable for modern autonomous systems. Current learning-based methods typically try to maximize their performance based on segmentation metrics that only consider the quality of the segmentation. However, for the safe operation… read more here.

Keywords: quality; uncertainty aware; uncertainty; segmentation ... See more keywords

Toward On-Board Panoptic Segmentation of Multispectral Satellite Images

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recommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2023.3268606

Abstract: With tremendous advancements in low-power embedded computing devices and remote sensing instruments, the traditional satellite image processing pipeline which includes an expensive data transfer step prior to processing data on the ground is being replaced… read more here.

Keywords: multispectral satellite; segmentation; board; panoptic segmentation ... See more keywords

Dense Pixel-Level Interpretation of Dynamic Scenes With Video Panoptic Segmentation

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recommendations! Published in 2022 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2022.3183440

Abstract: A holistic understanding of dynamic scenes is of fundamental importance in real-world computer vision problems such as autonomous driving, augmented reality and spatio-temporal reasoning. In this paper, we propose a new computer vision benchmark: Video… read more here.

Keywords: video panoptic; pixel level; segmentation; panoptic segmentation ... See more keywords

Instance Motion Tendency Learning for Video Panoptic Segmentation

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recommendations! Published in 2022 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2022.3226414

Abstract: Video panoptic segmentation is an important but challenging task in computer vision. It not only performs panoptic segmentation of each frame, but also associates the same instance across adjacent frames. Due to the lack of… read more here.

Keywords: motion tendency; panoptic segmentation; motion; instance ... See more keywords