Papers citing 'Deep Learning for Weakly-Supervised Object Detection and Object Localization: A Survey'

Title
A Large-Scale Analysis on Contextual Self-Supervised Video Representation Learning Akash Kumar Ashlesha Kumar Vibhav Vineet Yogesh S Rawat SSL 843 3 0 08 Apr 2025
WEEP: A method for spatial interpretation of weakly supervised CNN models in computational pathologyScientific Reports (Sci Rep), 2024 Abhinav Sharma Bojing Liu M. Rantalainen 142 0 0 22 Mar 2024
Identifying Light-curve Signals with a Deep Learning Based Object Detection Algorithm. II. A General Light Curve Classification FrameworkAstrophysical Journal Supplement Series (ApJS), 2023 Kaiming Cui D. J. Armstrong Fabo Feng 139 5 0 14 Nov 2023
A Large-Scale Analysis on Self-Supervised Video Representation Learning Akash Kumar Ashlesha Kumar Vibhav Vineet Yogesh S Rawat SSL 229 3 0 09 Jun 2023
Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, Methods, and PerspectivesIEEE Geoscience and Remote Sensing Magazine (GRSM), 2022 Jun Yue Leyuan Fang Pedram Ghamisi Weiying Xie Jun Li Jocelyn Chanussot Antonio J. Plaza 126 52 0 18 Apr 2022
Few-Shot Object Detection: A Comprehensive SurveyIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 Mona Köhler M. Eisenbach H. Groß ObjD 209 95 0 22 Dec 2021
Improving Weakly-supervised Object Localization via Causal InterventionACM Multimedia (ACM MM), 2021 Feifei Shao Yawei Luo Li Zhang Lu Ye Siliang Tang Yi Yang Jun Xiao WSOL 125 26 0 21 Apr 2021