2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 2 cited
Rethinking RAFT for Efficient Optical Flow
Navid Eslami, Farnoosh Arefi, Amir M. Mansourian +1
Despite significant progress in deep learning-based optical flow methods, accurately estimating large displacements and repetitive patterns remains a challenge. The limitations of…
cs.CV2023
Blacksmith: Fast Adversarial Training of Vision Transformers via a Mixture of Single-step and Multi-step Methods
Mahdi Salmani, Alireza Dehghanpour Farashah, Mohammad Azizmalayeri +4
Despite the remarkable success achieved by deep learning algorithms in various domains, such as computer vision, they remain vulnerable to adversarial perturbations. Adversarial Tr…