most citedWeakly Supervised Clustering by Exploiting Unique Class Count

8 citations · 14 across the 2 of their papers we have counts for

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cs.CV2020★ 6 cited

Studying The Effect of MIL Pooling Filters on MIL Tasks

Mustafa Umit Oner, Jared Marc Song Kye-Jet, Hwee Kuan Lee +1

There are different multiple instance learning (MIL) pooling filters used in MIL models. In this paper, we study the effect of different MIL pooling filters on the performance of M…

cs.CV2019★ 8 cited

Weakly Supervised Clustering by Exploiting Unique Class Count

Mustafa Umit Oner, Hwee Kuan Lee, Wing-Kin Sung

A weakly supervised learning based clustering framework is proposed in this paper. As the core of this framework, we introduce a novel multiple instance learning task based on a ba…