no code implementations • 9 Jan 2024 • Yatong Bai, Utsav Garg, Apaar Shanker, Haoming Zhang, Samyak Parajuli, Erhan Bas, Isidora Filipovic, Amelia N. Chu, Eugenia D Fomitcheva, Elliot Branson, Aerin Kim, Somayeh Sojoudi, Kyunghyun Cho
Vision and vision-language applications of neural networks, such as image classification and captioning, rely on large-scale annotated datasets that require non-trivial data-collecting processes.
1 code implementation • CVPR 2022 • Kareem Metwaly, Aerin Kim, Elliot Branson, Vishal Monga
Collectively, the Global-Local-Intrinsic blocks comprehend the scene's global context while attending to the characteristics of the local object of interest.
1 code implementation • 16 Nov 2021 • Kareem Metwaly, Aerin Kim, Elliot Branson, Vishal Monga
We have also created an API for the dataset to ease the usage of CAR.
no code implementations • 7 Nov 2021 • Felix Lau, Nishant Subramani, Sasha Harrison, Aerin Kim, Elliot Branson, Rosanne Liu
Moreover, by comparing a variety of object detection architectures, we find that better performance on MSCOCO validation set does not necessarily translate to better performance on NAO, suggesting that robustness cannot be simply achieved by training a more accurate model.
Ranked #1 on Object Detection on NAO
no code implementations • 31 Jul 2021 • Zeyad Emam, Andrew Kondrich, Sasha Harrison, Felix Lau, Yushi Wang, Aerin Kim, Elliot Branson
High-quality labeled datasets play a crucial role in fueling the development of machine learning (ML), and in particular the development of deep learning (DL).