output
20152021
most citedCBAM: Convolutional Block Attention Module

336 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2018Show all

2 papers · 1 filter

cs.CV2018★ 336 cited

CBAM: Convolutional Block Attention Module

Sanghyun Woo, Jongchan Park, Joon-Young Lee +1

We propose Convolutional Block Attention Module (CBAM), a simple yet effective attention module for feed-forward convolutional neural networks. Given an intermediate feature map, o…

cs.CV2018★ 331 cited

Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge

Mitko Veta, Yujing J. Heng, Nikolas Stathonikos +30

Tumor proliferation is an important biomarker indicative of the prognosis of breast cancer patients. Assessment of tumor proliferation in a clinical setting is highly subjective an…