Detector Discovery in the Wild: Joint Multiple Instance and
Representation Learning

Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning

2 December 2014

Papers citing "Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning"

19 / 19 papers shown

Title
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging Lukasz Struski Dawid Rymarczyk Arkadiusz Lewicki R. Sabiniewicz Jacek Tabor Bartosz Zieliñski 34 5 0 18 Jun 2023
Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images Qinghao Ye Yuan Gao Weiping Ding Z. Niu Chengjia Wang ... Minhao Wang E. Fang Wade Menpes-Smith Jun Xia Guang Yang OOD 34 33 0 09 Dec 2021
Discovery-and-Selection: Towards Optimal Multiple Instance Learning for Weakly Supervised Object Detection Shiwei Zhang Wei Ke Lin Yang WSOD 21 2 0 18 Oct 2021
Weakly Supervised Object Localization and Detection: A Survey Dingwen Zhang Junwei Han Gong Cheng Ming-Hsuan Yang WSOD 30 270 0 16 Apr 2021
$Weakly-Supervised Multi-Person Action Recognition in 360$^{\circ}$ Videos$ Weakly-Supervised Multi-Person Action Recognition in 360 $^{\circ}$ Videos Junnan Li Jianquan Liu Yongkang Wong Shoji Nishimura Mohan S. Kankanhalli 31 13 0 09 Feb 2020
Towards Precise End-to-end Weakly Supervised Object Detection Network Ke Yang Dongsheng Li Y. Dou WSOD 27 128 0 27 Nov 2019
Confident Learning: Estimating Uncertainty in Dataset Labels Curtis G. Northcutt Lu Jiang Isaac L. Chuang NoLa 46 676 0 31 Oct 2019
Min-Entropy Latent Model for Weakly Supervised Object Detection Fang Wan Pengxu Wei Zhenjun Han Jianbin Jiao QiXiang Ye WSOD 22 216 0 16 Feb 2019
Multi Instance Learning For Unbalanced Data Mark Kozdoba E. Moroshko Lior Shani Takuya Takagi Takashi Katoh Shie Mannor K. Crammer 21 1 0 17 Dec 2018
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks Shivang Agarwal Jean Ogier du Terrail F. Jurie ObjD 26 123 0 10 Sep 2018
Cost-effective Object Detection: Active Sample Mining with Switchable Selection Criteria Keze Wang Liang Lin Xiaopeng Yan Ziliang Chen Dongyu Zhang Lei Zhang ObjD 33 32 0 30 Jun 2018
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation Naoto Inoue Ryosuke Furuta T. Yamasaki Kiyoharu Aizawa ObjD 33 525 0 30 Mar 2018
Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption Peilun Li Xiaodan Liang Daoyuan Jia Eric Xing 23 94 0 05 Jan 2018
Weakly- and Semi-Supervised Object Detection with Expectation-Maximization Algorithm Ziang Yan Jian Liang Weishen Pan Jin Li Changshui Zhang VLM WSOD 34 46 0 28 Feb 2017
Multiple Instance Learning: A Survey of Problem Characteristics and Applications M. Carbonneau Veronika Cheplygina Eric Granger G. Gagnon 23 614 0 11 Dec 2016
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation Judy Hoffman Dequan Wang Feng Yu Trevor Darrell OOD 19 786 0 08 Dec 2016
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey Hirokatsu Kataoka Yudai Miyashita Tomoaki K. Yamabe Soma Shirakabe Shin-ichi Sato ... Kaori Abe Takaaki Imanari Naomichi Kobayashi Shinichiro Morita Akio Nakamura 24 2 0 26 May 2016
Self Paced Deep Learning for Weakly Supervised Object Detection E. Sangineto Moin Nabi D. Ćulibrk N. Sebe WSOD SSL 33 116 0 24 May 2016
Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering Arun Mallya Svetlana Lazebnik 39 119 0 16 Apr 2016