RobustNeRF: Ignoring Distractors with Robust Losses

1 code implementation • CVPR 2023 • Sara Sabour, Suhani Vora, Daniel Duckworth, Ivan Krasin, David J. Fleet, Andrea Tagliasacchi

To cope with distractors, we advocate a form of robust estimation for NeRF training, modeling distractors in training data as outliers of an optimization problem.

The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale

1 code implementation • 2 Nov 2018 • Alina Kuznetsova, Hassan Rom, Neil Alldrin, Jasper Uijlings, Ivan Krasin, Jordi Pont-Tuset, Shahab Kamali, Stefan Popov, Matteo Malloci, Alexander Kolesnikov, Tom Duerig, Vittorio Ferrari

We present Open Images V4, a dataset of 9. 2M images with unified annotations for image classification, object detection and visual relationship detection.

General Classification Image Classification +5

Learning From Noisy Large-Scale Datasets With Minimal Supervision

no code implementations • CVPR 2017 • Andreas Veit, Neil Alldrin, Gal Chechik, Ivan Krasin, Abhinav Gupta, Serge Belongie

For the small clean set of annotations we use a quarter of the validation set with ~40k images.