Moderately Supervised Learning: Definition, Framework and Generality

27 August 2020

Papers citing "Moderately Supervised Learning: Definition, Framework and Generality"

6 / 6 papers shown

Title
Learning Regional Attraction for Line Segment Detection Nan Xue S. Bai Fudong Wang Guisong Xia Tianfu Wu Liangpei Zhang Philip Torr 40 31 0 18 Dec 2019
Searching for MobileNetV3 Andrew G. Howard Mark Sandler Grace Chu Liang-Chieh Chen Bo Chen ... Yukun Zhu Ruoming Pang Vijay Vasudevan Quoc V. Le Hartwig Adam 256 6,685 0 06 May 2019
CenterNet: Keypoint Triplets for Object Detection Kaiwen Duan S. Bai Lingxi Xie H. Qi Qingming Huang Q. Tian NoLa 95 2,663 0 17 Apr 2019
Learning non-maximum suppression J. Hosang Rodrigo Benenson Bernt Schiele ObjD 34 517 0 08 May 2017
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 698 15,718 0 02 Nov 2015
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun ObjD 235 11,183 0 18 Jun 2014