Results 1 to 10 of about 57,569 (167)
Real-time semantic clothing segmentation [PDF]
, 2012 Clothing segmentation is a challenging field of research which is rapidly gaining attention. This paper presents a system for semantic segmentation of primarily monochromatic clothing and printed/stitched textures in single images or live video.
Mark. S. Nixon +3 more
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Incremental Learning Techniques for Part-Based Semantic Segmentation [PDF]
, 2022 In this work we use an Incremental Learning approach to try to develop a model for the Part-Based Semantic Segmentation. Our framework uses two networks where the second one is fed with the output of the first.
Rossi, Luca
core
Exploring Adversarial Robustness of LiDAR Semantic Segmentation in Autonomous Driving [PDF]
, 2023 Deep learning networks have demonstrated outstanding performance in 2D and 3D vision tasks. However, recent research demonstrated that these networks result in failures when imperceptible perturbations are added to the input known as adversarial attacks.
Perera, Asanka +7 more
core +1 more source
Deep Networks and Random Forests for Semantic Segmentation on 3D Data [PDF]
, 2022 This work focus on semantic segmentation over 3D data,firstly by research and study of the state of the art, then by developing methods to transfer features between FuseNet and 3D Entangled Forests.We were able to obtain meaningful insights with regards ...
Bonetto, Elia
core
QIMERA: a software platform for video object segmentation and tracking [PDF]
, 2003 In this paper we present an overview of an ongoing collaborative project in the field of video object segmentation and tracking. The objective of the project is to develop a flexible modular software architecture that can be used as test-bed for ...
Murphy, Noel +5 more
core +1 more source
Diagnostics in Semantic Segmentation
CoRR, 2018 Over the past years, computer vision community has contributed to enormous progress in semantic image segmentation, a per-pixel classification task, crucial for dense scene understanding and rapidly becoming vital in lots of real-world applications, including driverless cars and medical imaging.
Nekrasov, V., Shen, C., Reid, I.D.
openaire +2 more sources
, 2006 In the context of the Semantic Web, many ontology-related operations, e.g. ontology ranking, segmentation, alignment, articulation, reuse, evaluation, can be boiled down to one fundamental operation: computing the similarity and?or dissimilarity among ...
Harith Alani +12 more
core +1 more source
Semantic scene segmentation for robotics
, 2022 Comprehensive scene understanding is a critical enabler of robot autonomy. Semantic segmentation is one of the key scene understanding tasks which is pivotal for several robotics applications including autonomous driving, domestic service robotics, last mile delivery, amongst many others.
Juana Valeria Hurtado, Abhinav Valada
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Journal of Information Technology Research, 2023 Semantic segmentation was traditionally performed using primitive methods; however, in recent times, a significant growth in the advancement of deep learning techniques for the same is observed. In this paper, an extensive study and review of the existing deep learning (DL)-based techniques used for the purpose of semantic segmentation is carried out ...
null Aakanksha +2 more
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SeMask: Semantically Masked Transformers for Semantic Segmentation
2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023 Finetuning a pretrained backbone in the encoder part of an image transformer network has been the traditional approach for the semantic segmentation task. However, such an approach leaves out the semantic context that an image provides during the encoding stage.
Jitesh Jain +6 more
openaire +2 more sources