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In this paper, we address the detection of co-occurring salient objects (CoSOD) in an image group using frequency statistics in an unsupervised manner, which further enable us to develop a semi-supervised method. While previous works have mostly focu
Externí odkaz:
http://arxiv.org/abs/2311.06654
State-of-the-art object detectors are fast and accurate, but they require a large amount of well annotated training data to obtain good performance. However, obtaining a large amount of training annotations specific to a particular task, i.e., fine-g
Externí odkaz:
http://arxiv.org/abs/2212.00770
Training an accurate object detector is expensive and time-consuming. One main reason lies in the laborious labeling process, i.e., annotating category and bounding box information for all instances in every image. In this paper, we examine ways to i
Externí odkaz:
http://arxiv.org/abs/2101.06770
This paper assumes prior detections of multiple targets at each time instant, and uses a graph-based approach to connect those detections across time, based on their position and appearance estimates. In contrast to most earlier works in the field, o
Externí odkaz:
http://arxiv.org/abs/1509.00313
Given a set of detections, detected at each time instant independently, we investigate how to associate them across time. This is done by propagating labels on a set of graphs, each graph capturing how either the spatio-temporal or the appearance cue
Externí odkaz:
http://arxiv.org/abs/1504.01124
Publikováno v:
Multimedia Tools & Applications; Feb2023, Vol. 82 Issue 5, p7383-7400, 18p
Publikováno v:
Oncotarget
// Hsu Wei-Shan 1,* , Vas C. Amit 1,2,* and Duncan J. Clarke 1 1 Department of Genetics, Cell Biology and Development, University of Minnesota Medical School, Minneapolis, MN, USA 2 Present address: Cargill Inc., Wayzata, MN, USA * Co-first authors C
Publikováno v:
Grand Altai Research & Education / Наука и образование Большого Алтая.
Autor:
A. R. Esaga, N. C. Amit
Publikováno v:
International Journal of Trend in Scientific Research and Development. 3:851-853
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