Results 51 to 60 of about 345,447 (283)

3D Point Cloud Instance Segmentation Considering Global Shape Contour Constraints

Remote Sensing, 2023
Aiming to solve the problem that spatially distributed similar instances cannot be distinguished in 3D point cloud instance segmentation, a 3D point cloud instance segmentation network, considering the global shape contour, was proposed.
Jiabin Xv, Fei Deng
doaj   +1 more source

Semantic Attention and Structured Model for Weakly Supervised Instance Segmentation in Optical and SAR Remote Sensing Imagery

Remote Sensing, 2023
Instance segmentation in remote sensing (RS) imagery aims to predict the locations of instances and represent them with pixel-level masks. Thanks to the more accurate pixel-level information for each instance, instance segmentation has enormous potential
Man Chen, Kun Xu, Enping Chen, Yao Zhang, Yifei Xie, Yahao Hu, Zhisong Pan   +6 more
doaj   +1 more source

Actor-Critic Instance Segmentation [PDF]

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
To appear at CVPR ...
Araslanov, Nikita, Rothkopf, Constantin, Roth, Stefan   +2 more
openaire   +2 more sources

Carcinomas and Carcinoid Tumors of the Lungs and Bronchi in Children and Adolescents: The EXPeRT Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Primary lung carcinomas and bronchial carcinoid tumors (BC) are very rare malignancies in childhood. While typical BC and mucoepidermoid carcinomas are mostly low‐grade, localized tumors with a more favorable prognosis than in adults, necessitating avoidance of overtreatment, adenocarcinomas of the lung are often diagnosed at advanced disease ...
Michael Abele, Calogero Virgone, Michaela Kuhlen, Sabine Irtan, Yves Reguerre, Malgorzata Krawczyk, Ewa Bien, Tal Ben‐Ami, Maja Cesen, Ricardo Lopez‐Almaraz, Andrea Ferrari, Gianni Bisogno, Dominik T. Schneider, Abbas Agaimy, Constantin Lapa, Hubert Ducou le Pointe, Rainer Claus, Catherine Daniel, Ines B. Brecht, Daniel Orbach   +19 more
wiley   +1 more source

BiSeg: Simultaneous Instance Segmentation and Semantic Segmentation with Fully Convolutional Networks

, 2017
We present a simple and effective framework for simultaneous semantic segmentation and instance segmentation with Fully Convolutional Networks (FCNs). The method, called BiSeg, predicts instance segmentation as a posterior in Bayesian inference, where ...
Ito, Satoshi, Kozakaya, Tatsuo, Pham, Viet-Quoc   +2 more
core   +1 more source

On the Importance of Visual Context for Data Augmentation in Scene Understanding [PDF]

, 2019
Performing data augmentation for learning deep neural networks is known to be important for training visual recognition systems. By artificially increasing the number of training examples, it helps reducing overfitting and improves generalization.
Dvornik, Nikita, Mairal, Julien, Schmid, Cordelia   +2 more
core   +4 more sources

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Instance-Level Salient Object Segmentation

, 2017
Image saliency detection has recently witnessed rapid progress due to deep convolutional neural networks. However, none of the existing methods is able to identify object instances in the detected salient regions.
Li, Guanbin, Lin, Liang, Xie, Yuan, Yu, Yizhou   +3 more
core   +1 more source

Foveated Instance Segmentation

2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Instance segmentation is essential for augmented reality and virtual reality (AR/VR) as it enables precise object recognition and interaction, enhancing the integration of virtual and real-world elements for an immersive experience. However, the high computational overhead of segmentation limits its application on resource-constrained AR/VR devices ...
Zeng, Hongyi, Liu, Wenxuan, Xia, Tianhua, Chen, Jinhui, Li, Ziyun, Zhang, Sai Qian   +5 more
openaire   +2 more sources

Localized Interactive Instance Segmentation [PDF]

, 2019
In current interactive instance segmentation works, the user is granted a free hand when providing clicks to segment an object; clicks are allowed on background pixels and other object instances far from the target object. This form of interaction is highly inconsistent with the end goal of efficiently isolating objects of interest.
Soumajit Majumder, Angela Yao
openaire   +2 more sources