Results 41 to 50 of about 83,590 (265)

Grasping and cutting points detection method for the harvesting of dome-type planted pumpkin using transformer network-based instance segmentation architecture

open access: yesFrontiers in Plant Science, 2023
An accurate and robust keypoint detection method is vital for autonomous harvesting systems. This paper proposed a dome-type planted pumpkin autonomous harvesting framework with keypoint (grasping and cutting points) detection method using instance ...
Jin Yan   +3 more
doaj   +1 more source

Learning Instance Segmentation by Interaction [PDF]

open access: yes2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018
Website at https://pathak22.github.io/seg-by-interaction/
Deepak Pathak   +6 more
openaire   +2 more sources

Instance Segmentation of Buildings Using Keypoints [PDF]

open access: yesIGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020
Building segmentation is of great importance in the task of remote sensing imagery interpretation. However, the existing semantic segmentation and instance segmentation methods often lead to segmentation masks with blurred boundaries. In this paper, we propose a novel instance segmentation network for building segmentation in high-resolution remote ...
Qingyu Li 0001   +6 more
openaire   +3 more sources

HTC+ for SAR Ship Instance Segmentation

open access: yesRemote Sensing, 2022
Existing instance segmentation models mostly pay less attention to the targeted characteristics of ships in synthetic aperture radar (SAR) images, which hinders further accuracy improvements, leading to poor segmentation performance in more complex SAR ...
Tianwen Zhang, Xiaoling Zhang
doaj   +1 more source

Attention-Guided Instance Segmentation for Group-Raised Pigs

open access: yesAnimals, 2023
In the pig farming environment, complex factors such as pig adhesion, occlusion, and changes in body posture pose significant challenges for segmenting multiple target pigs.
Zhiwei Hu, Hua Yang, Hongwen Yan
doaj   +1 more source

A survey on instance segmentation: state of the art [PDF]

open access: yesInternational Journal of Multimedia Information Retrieval, 2020
Int J Multimed Info Retr (2020)
Abdul Mueed Hafiz, Ghulam Mohiuddin Bhat
openaire   +2 more sources

DIM: long-tailed object detection and instance segmentation via dynamic instance memory

open access: yesMachine Learning: Science and Technology, 2023
Object detection and instance segmentation have been successful on benchmarks with relatively balanced category distribution (e.g. MSCOCO). However, state-of-the-art object detection and segmentation methods still struggle to generalize on long-tailed ...
Zhao-Min Chen   +7 more
doaj   +1 more source

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

open access: yesPediatric 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   +23 more
wiley   +1 more source

3D Point Cloud Instance Segmentation Considering Global Shape Contour Constraints

open access: yesRemote 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

Foveated Instance Segmentation

open access: yes2025 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 ...
Hongyi Zeng   +5 more
openaire   +2 more sources

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