Home

Info Title: Focal loss for dense object detection Task: Object Detection Author: T. Lin, P. Goyal, R. B. Girshick, K. He, and P. Dollár Date: Aug. 2017 Arxiv: 1708.02002 Published: ICCV 2017(Best Student Paper) Highlights & Drawbacks Loss function improvement For Dense samples from single-stage models like SSD Motiv...

Info Title: Xception: Deep Learning with Depthwise Seperable Convolutions Author: F. Chollet Arxiv: 1610.02357 Date: Oct. 2016 Highlights & Drawbacks Replaced 1×1 convolution and 3×3 convolution in Inception unit with Depth-wise seperable convolution Motivation & Design The article points out that the assumption behind the...

Info Title: You Only Look Once: Unified, Real Time Object Detection Task: Object Detection Author: J. Redmon, S. Divvala, R. Girshick, and A. Farhadi Arxiv: https://arxiv.org/abs/1506.02640 Date: June. 2015 Published: CVPR 2016 Highlights & Drawbacks Fast. Global processing makes background errors relatively small compare...

Info Title: A Neural Algorithm of Artistic Style Task: Style Transfer Author: L. A. Gatys, A. S. Ecker, and M. Bethge Arxiv: 1508.06576 Date: Aug. 2015 Published: CVPR 2016 Motivation & Design To obtain a representation of the style of an input image, we use a feature space originally designed to capture texture information. ...