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   Articles with "scene segmentation" as a keyword



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EasyLabels: weak labels for scene segmentation in laparoscopic videos

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recommendations! Published in 2019 at "International Journal of Computer Assisted Radiology and Surgery"

DOI: 10.1007/s11548-019-02003-2

Abstract: PurposeWe present a different approach for annotating laparoscopic images for segmentation in a weak fashion and experimentally prove that its accuracy when trained with partial cross-entropy is close to that obtained with fully supervised approaches.MethodsWe… read more here.

Keywords: easylabels weak; laparoscopic; labels scene; segmentation laparoscopic ... See more keywords

Road Scene Segmentation Based on Deep Learning

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3009782

Abstract: Recently, autonomous driving becomes a hot topic in research and industry area. Autonomous driving technology needs to perceive the semantic information of road scenes in the all-day and open environment. In this article, the semantic… read more here.

Keywords: road scene; road; deep learning; road scenes ... See more keywords

Fast and Effective Scene Segmentation Method for Luminance Adjustment of Multi-Exposure Image

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recommendations! Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2022.3233546

Abstract: Multi-exposure image fusion is an important task for high dynamic range imaging. The performance of a fusion method is highly dependent on the quality of the input multi-exposure image. However, it is often difficult to… read more here.

Keywords: scene segmentation; exposure image; multi exposure; scene ... See more keywords
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Video Scene Segmentation Using Tensor-Train Faster-RCNN for Multimedia IoT Systems

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recommendations! Published in 2021 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2020.3022353

Abstract: Video surveillance techniques like scene segmentation are playing an increasingly important role in multimedia Internet-of-Things (IoT) systems. However, existing deep learning-based methods face challenges in both accuracy and memory when deployed on edge computing devices… read more here.

Keywords: iot systems; scene segmentation; scene; segmentation ... See more keywords
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Compensating for Local Ambiguity With Encoder-Decoder in Urban Scene Segmentation

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recommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2022.3157128

Abstract: Semantic segmentation plays a critical role in scene understanding for self-driving vehicles. A line of efforts has proven that global context matters in urban scene segmentation due to massive scale changes. However, we find that… read more here.

Keywords: urban scene; segmentation; scene segmentation; encoder ... See more keywords
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Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation

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recommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"

DOI: 10.1109/tmi.2022.3177077

Abstract: Automatic surgical scene segmentation is fundamental for facilitating cognitive intelligence in the modern operating theatre. Previous works rely on conventional aggregation modules (e.g., dilated convolution, convolutional LSTM), which only make use of the local context.… read more here.

Keywords: scene segmentation; video; video relation; inter video ... See more keywords
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Binocular vision supports the development of scene segmentation capabilities: Evidence from a deep learning model

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recommendations! Published in 2021 at "Journal of Vision"

DOI: 10.1167/jov.21.7.13

Abstract: The application of deep learning techniques has led to substantial progress in solving a number of critical problems in machine vision, including fundamental problems of scene segmentation and depth estimation. Here, we report a novel… read more here.

Keywords: image; segmentation; deep learning; model ... See more keywords
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A visual simultaneous localization and mapping approach based on scene segmentation and incremental optimization

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recommendations! Published in 2020 at "International Journal of Advanced Robotic Systems"

DOI: 10.1177/1729881420977669

Abstract: Existing visual simultaneous localization and mapping (V-SLAM) algorithms are usually sensitive to the situation with sparse landmarks in the environment and large view transformation of camera motion, and they are liable to generate large pose… read more here.

Keywords: segmentation; visual simultaneous; optimization; scene segmentation ... See more keywords
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Depth in convolutional neural networks solves scene segmentation

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recommendations! Published in 2020 at "PLoS Computational Biology"

DOI: 10.1371/journal.pcbi.1008022

Abstract: Feed-forward deep convolutional neural networks (DCNNs) are, under specific conditions, matching and even surpassing human performance in object recognition in natural scenes. This performance suggests that the analysis of a loose collection of image features… read more here.

Keywords: neural networks; segmentation; convolutional neural; networks solves ... See more keywords