2 code implementations • 2 Apr 2013 • Aaron Adcock, Erik Carlsson, Gunnar Carlsson
We study the ring of algebraic functions on the space of persistence barcodes, with applications to pattern recognition.
Rings and Algebras 13Pxx, 68T10
1 code implementation • 18 Jun 2020 • Rohit Girdhar, Laura Gustafson, Aaron Adcock, Laurens van der Maaten
Physical reasoning requires forward prediction: the ability to forecast what will happen next given some initial world state.
Ranked #2 on Visual Reasoning on PHYRE-1B-Within
1 code implementation • 18 Nov 2021 • Haoqi Fan, Tullie Murrell, Heng Wang, Kalyan Vasudev Alwala, Yanghao Li, Yilei Li, Bo Xiong, Nikhila Ravi, Meng Li, Haichuan Yang, Jitendra Malik, Ross Girshick, Matt Feiszli, Aaron Adcock, Wan-Yen Lo, Christoph Feichtenhofer
We introduce PyTorchVideo, an open-source deep-learning library that provides a rich set of modular, efficient, and reproducible components for a variety of video understanding tasks, including classification, detection, self-supervised learning, and low-level processing.
2 code implementations • CVPR 2022 • Mannat Singh, Laura Gustafson, Aaron Adcock, Vinicius de Freitas Reis, Bugra Gedik, Raj Prateek Kosaraju, Dhruv Mahajan, Ross Girshick, Piotr Dollár, Laurens van der Maaten
Model pre-training is a cornerstone of modern visual recognition systems.
Ranked #1 on Out-of-Distribution Generalization on ImageNet-W (using extra training data)
Fine-Grained Image Classification Out-of-Distribution Generalization +3
1 code implementation • 27 Jan 2022 • Melissa Hall, Laurens van der Maaten, Laura Gustafson, Maxwell Jones, Aaron Adcock
To enable this study, we design a simple image-classification problem in which we can tightly control (synthetic) biases.
no code implementations • 26 Jan 2023 • Melissa Hall, Laura Gustafson, Aaron Adcock, Ishan Misra, Candace Ross
With these capabilities in mind, we ask: Do vision-language models exhibit gender bias when performing zero-shot image classification, object detection and semantic segmentation?
1 code implementation • ICCV 2023 • Mannat Singh, Quentin Duval, Kalyan Vasudev Alwala, Haoqi Fan, Vaibhav Aggarwal, Aaron Adcock, Armand Joulin, Piotr Dollár, Christoph Feichtenhofer, Ross Girshick, Rohit Girdhar, Ishan Misra
While MAE has only been shown to scale with the size of models, we find that it scales with the size of the training dataset as well.
Ranked #1 on Few-Shot Image Classification on ImageNet - 10-shot (using extra training data)
no code implementations • ICCV 2023 • Laura Gustafson, Chloe Rolland, Nikhila Ravi, Quentin Duval, Aaron Adcock, Cheng-Yang Fu, Melissa Hall, Candace Ross
We present a new benchmark named FACET (FAirness in Computer Vision EvaluaTion), a large, publicly available evaluation set of 32k images for some of the most common vision tasks - image classification, object detection and segmentation.