A semantics-driven methodology for high-quality image annotation

26 July 2023

Papers citing "A semantics-driven methodology for high-quality image annotation"

9 / 9 papers shown

Title
AI and the Everything in the Whole Wide World Benchmark Inioluwa Deborah Raji Emily M. Bender Amandalynne Paullada Emily L. Denton A. Hanna 57 301 0 26 Nov 2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels Sangdoo Yun Seong Joon Oh Byeongho Heo Dongyoon Han Junsuk Choe Sanghyuk Chun 457 144 0 13 Jan 2021
Are we done with ImageNet? Lucas Beyer Olivier J. Hénaff Alexander Kolesnikov Xiaohua Zhai Aaron van den Oord VLM 114 398 0 12 Jun 2020
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 364 26,241 0 05 Sep 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 687 36,599 0 25 Aug 2016
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 371 43,511 0 17 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.3K 39,383 0 01 Sep 2014
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun ObjD 303 11,183 0 18 Jun 2014
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 411 15,825 0 12 Nov 2013