no code implementations • 20 Mar 2024 • Hongjun Wang, Sagar Vaze, Kai Han
We thoroughly evaluate our SPTNet on standard benchmarks and demonstrate that our method outperforms existing GCD methods.
no code implementations • CVPR 2023 • Sagar Vaze, Nicolas Carion, Ishan Misra
In this paper, we propose the GeneCIS ('genesis') benchmark, which measures models' ability to adapt to a range of similarity conditions.
no code implementations • 5 Apr 2023 • Kai Han, Yandong Li, Sagar Vaze, Jie Li, Xuhui Jia
In this paper, we reconsider the recognition problem and task a vision-language model to assign class names to images given only a large and essentially unconstrained vocabulary of categories as prior information.
1 code implementation • 7 Apr 2022 • Walter Goodwin, Sagar Vaze, Ioannis Havoutis, Ingmar Posner
Object pose estimation is an important component of most vision pipelines for embodied agents, as well as in 3D vision more generally.
1 code implementation • CVPR 2022 • Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman
Here, the unlabelled images may come from labelled classes or from novel ones.
Ranked #1 on Open-World Semi-Supervised Learning on CIFAR-10 (Seen accuracy (50% Labeled) metric)
Fine-Grained Visual Recognition Open-World Semi-Supervised Learning +1
1 code implementation • 15 Nov 2021 • Walter Goodwin, Sagar Vaze, Ioannis Havoutis, Ingmar Posner
Object rearrangement has recently emerged as a key competency in robot manipulation, with practical solutions generally involving object detection, recognition, grasping and high-level planning.
2 code implementations • ICLR 2022 • Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman
In this paper, we first demonstrate that the ability of a classifier to make the 'none-of-above' decision is highly correlated with its accuracy on the closed-set classes.
Ranked #10 on Out-of-Distribution Detection on CIFAR-100 vs CIFAR-10
no code implementations • 15 Sep 2020 • Sagar Vaze, James Foley, Mohamed Seddiq, Alexey Unagaev, Natalia Efremova
The analysis of satellite imagery will prove a crucial tool in the pursuit of sustainable development.
no code implementations • 16 Mar 2020 • Conrad James Foley, Sagar Vaze, Mohamed El Amine Seddiq, Alexey Unagaev, Natalia Efremova
Soil moisture is critical component of crop health and monitoring it can enable further actions for increasing yield or preventing catastrophic die off.