Squeeze-and-Excitation Networks — mentioned by tanilama

Tue, 14 Nov 2017 07:25:52 GMT

https://arxiv.org/abs/1512.03385 Deep Residual Learning for Image Recognition Citation 4000+. Milestone of image recognition. https://arxiv.org/abs/1502.01852 Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification. Also known as PreLU, citation 1600+. The initialization scheme is widely adapted by a lot of following works. Those are the most influential ones, all come from Kaiming He. He is now in FAIR, and keeps very good publication record, with works like MASK-RCNN, but that doesn't really count as purely Chinese contribution, so we skipped here. Some…

Paper and discussion history. A mention is not an endorsement.

Squeeze-and-Excitation Networks — HN submission

Sun, 10 Sep 2017 17:00:20 GMT

Squeeze-and-Excitation Networks(ILSVRC 2017 image classification winner)

2 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.

Squeeze-and-Excitation Networks · HackerPapers discussions

Squeeze-and-Excitation Networks — mentioned by tanilama

Squeeze-and-Excitation Networks — HN submission