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cs.CV2023
Unsupervised and semi-supervised co-salient object detection via segmentation frequency statistics
Souradeep Chakraborty, Shujon Naha, Muhammet Bastan +2
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 d…
cs.CE2023★ 1 cited
ChiMera: Learning with noisy labels by contrasting mixed-up augmentations
Zixuan Liu, Xin Zhang, Junjun He +5
Learning with noisy labels has been studied to address incorrect label annotations in real-world applications. In this paper, we present ChiMera, a two-stage learning-from-noisy-la…