Undoing the Damage of Dataset Bias
The presence of bias in existing object recognition datasets is now well-known in the computer vision community. While it remains in question whether creating an unbiased dataset is possible given limited resources, in this work we propose a discriminative framework that directly exploits dataset bi...
Main Author: | Khosla, Aditya |
---|---|
Other Authors: | Massachusetts Institute of Technology. Media Laboratory |
Format: | Article |
Language: | English |
Published: |
Springer Nature
2019
|
Online Access: | https://hdl.handle.net/1721.1/122669 |
Similar Items
-
An undoing of pattern or a pattern of undoing? Sin, folly and chaos in Shakespeare’s King Lear
by: Violaris, E
Published: (2021) -
Introduction to the symposium on undoing discriminatory borders
by: Briddick, C, et al.
Published: (2021) -
Guest editor introduction: contesting and undoing discriminatory borders
by: Atrey, S, et al.
Published: (2022) -
Writing to undo: protestation as a mode of early modern resistance
by: Sternberg, G
Published: (2023) -
Automated verification and testing of user-interactive undo features in database applications
by: Tan, Hee Beng Kuan, et al.
Published: (2013)