Results 51 to 60 of about 342,749 (263)
OccuSeg: Occupancy-Aware 3D Instance Segmentation [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 CVPR 2020, video this https URL https://youtu.be ...
Han, Lei, Zheng, Tian, Xu, Lan, Fang, Lu
openaire +2 more sources
Pseudo Mask Augmented Object Detection
, 2018 In this work, we present a novel and effective framework to facilitate object detection with the instance-level segmentation information that is only supervised by bounding box annotation.
Liang, Shuang +2 more
core +1 more source
Pointly-Supervised Instance Segmentation
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 We propose an embarrassingly simple point annotation scheme to collect weak supervision for instance segmentation. In addition to bounding boxes, we collect binary labels for a set of points uniformly sampled inside each bounding box. We show that the existing instance segmentation models developed for full mask supervision can be seamlessly trained ...
Cheng, Bowen +2 more
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Predicting Future Instance Segmentation by Forecasting Convolutional Features [PDF]
, 2018 Anticipating future events is an important prerequisite towards intelligent behavior. Video forecasting has been studied as a proxy task towards this goal.
A Yang +7 more
core +4 more sources
Actor-Critic Instance Segmentation [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 To appear at CVPR ...
Araslanov, Nikita +2 more
openaire +2 more sources
Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus +6 more
wiley +1 more source
Study on Unsupervised Instance Segmentation Models for Person Re-Identification [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesUnsupervised instance segmentation for person re-identification is mainly used in challenging cases such as occluded person re-identification and 3D re-identification. Furthermore, unsupervised instance segmentation can be considered as an auxiliary cue,
M. N. Favorskaya, M. V. Savkov
doaj +1 more source
Deep GrabCut for Object Selection
, 2017 Most previous bounding-box-based segmentation methods assume the bounding box tightly covers the object of interest. However it is common that a rectangle input could be too large or too small. In this paper, we propose a novel segmentation approach that
Cohen, Scott +4 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Metabolic syndrome (MetS) is a common complication in survivors of childhood acute lymphoblastic and myeloid leukemia (AL), and a major risk factor for premature cardiovascular disease, type‐2‐diabetes, and metabolic dysfunction‐associated steatotic liver disease (MASLD).
Visentin Sandrine +10 more
wiley +1 more source
S4Net: Single stage salient-instance segmentation
Computational Visual Media, 2020 In this paper, we consider salient instance segmentation. As well as producing bounding boxes, our network also outputs high-quality instance-level segments as initial selections to indicate the regions of interest.
Ruochen Fan +5 more
doaj +1 more source