Learning Simple Thresholded Features with Sparse Support Recovery

v1v2 (latest)

Learning Simple Thresholded Features with Sparse Support Recovery

16 April 2018

ArXiv (abs)PDF HTML

Papers citing "Learning Simple Thresholded Features with Sparse Support Recovery"

7 / 7 papers shown

Title
SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining Saksham Suri Sai Saketh Rambhatla Rama Chellappa Abhinav Shrivastava ObjD 80 12 0 12 Jan 2022
Ortho-Shot: Low Displacement Rank Regularization with Data Augmentation for Few-Shot Learning Uche M. Osahor Nasser M. Nasrabadi 61 11 0 18 Oct 2021
MHSA-Net: Multi-Head Self-Attention Network for Occluded Person Re-Identification Hongchen Tan Xiuping Liu Baocai Yin Xin Li 98 83 0 10 Aug 2020
ABD-Net: Attentive but Diverse Person Re-Identification Tianlong Chen Shaojin Ding Jingyi Xie Ye Yuan Wuyang Chen Yang Zhou Ren Zhangyang Wang 137 480 0 03 Aug 2019
BAOD: Budget-Aware Object Detection Alejandro Pardo Mengmeng Xu Ali K. Thabet Pablo Arbeláez Guohao Li ObjD 115 20 0 10 Apr 2019
Can We Gain More from Orthogonality Regularizations in Training Deep CNNs? Nitin Bansal Xiaohan Chen Zhangyang Wang OOD 105 188 0 22 Oct 2018
Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse Coding Dong Liu Ke Sun Zhangyang Wang Runsheng Liu Zhengjun Zha 86 12 0 28 Feb 2018