Estimating the pose of an uncooperative spacecraft is an important computer vision problem for enabling the deployment of automatic vision-based systems in orbit, with applications …
Most state-of-the-art approaches for weather and climate modeling are based on physics- informed numerical models of the atmosphere. These approaches aim to model the non …
Transformer emerges as a powerful tool for visual recognition. In addition to demonstrating competitive performance on a broad range of visual benchmarks, recent works also argue …
Transformer models have shown great success handling long-range interactions, making them a promising tool for modeling video. However, they lack inductive biases and scale …
H Ni, Y Li, L Gao, HT Shen… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Abstract Domain generalization person re-identification (DG ReID) aims to train a model on source domains and generalize well on unseen domains. Vision Transformer usually yields …
Vision transformers have become popular as a possible substitute to convolutional neural networks (CNNs) for a variety of computer vision applications. These transformers, with their …
Abstract Vision Transformer (ViT) has become one of the most popular neural architectures due to its simplicity, scalability, and compelling performance in multiple vision tasks …
Following the surge of popularity of Transformers in Computer Vision, several studies have attempted to determine whether they could be more robust to distribution shifts and provide …