Nada Saadi

Multi-Attribute Vision Transformers are Efficient and Robust Learners

2024 · arXiv (Cornell University)

Since their inception, Vision Transformers (ViTs) have emerged as a compelling alternative to Convolutional Neural Networks (CNNs) across a wide spectrum of tasks. ViTs exhibit notable characteristics, including global attention, resilience against occlusions, and adaptability …