On The State of Data In Computer Vision: Human Annotations Remain
Indispensable for Developing Deep Learning Models

On The State of Data In Computer Vision: Human Annotations Remain Indispensable for Developing Deep Learning Models

31 July 2021

Andrew Kondrich

Papers citing "On The State of Data In Computer Vision: Human Annotations Remain Indispensable for Developing Deep Learning Models"

6 / 6 papers shown

Title
Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models Kooshan Amini Yuhao Liu Jamie Ellen Padgett Guha Balakrishnan Ashok Veeraraghavan 31 0 0 17 Apr 2025
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 308 5,773 0 29 Apr 2021
High-Performance Large-Scale Image Recognition Without Normalization Andrew Brock Soham De Samuel L. Smith Karen Simonyan VLM 223 512 0 11 Feb 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 267 10,348 0 12 Dec 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks Mohit Iyyer John Wieting Kevin Gimpel Luke Zettlemoyer AAML GAN 185 711 0 17 Apr 2018
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 230 31,253 0 16 Jan 2013