Results 51 to 60 of about 1,683,190 (291)
Simple Open-Vocabulary Object Detection with Vision Transformers [PDF]
arXiv.org, 2022 Combining simple architectures with large-scale pre-training has led to massive improvements in image classification. For object detection, pre-training and scaling approaches are less well established, especially in the long-tailed and open-vocabulary ...
M. Minderer +13 more
semanticscholar +1 more source
Drones, 2023 The reliable and efficient large-scale mapping of date palm trees from remotely sensed data is crucial for developing palm tree inventories, continuous monitoring, vulnerability assessments, environmental control, and long-term management.
Mohamed Barakat A. Gibril +5 more
doaj +1 more source
Building Extraction With Vision Transformer [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2022 Submitted to ...
Libo Wang +3 more
openaire +2 more sources
CellViT: Vision Transformers for Precise Cell Segmentation and Classification [PDF]
Medical Image Anal., 2023 Nuclei detection and segmentation in hematoxylin and eosin-stained (H&E) tissue images are important clinical tasks and crucial for a wide range of applications.
Fabian Hörst +10 more
semanticscholar +1 more source
Vision Transformer with Progressive Sampling [PDF]
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021 Accepted to ICCV ...
Xiaoyu Yue +6 more
openaire +3 more sources
Wildfire Segmentation Using Deep Vision Transformers
Remote Sensing, 2021 In this paper, we address the problem of forest fires’ early detection and segmentation in order to predict their spread and help with fire fighting. Techniques based on Convolutional Networks are the most used and have proven to be efficient at solving ...
Rafik Ghali +4 more
doaj +1 more source
Advances in Neural Information Processing Systems 35, 2022 Human vision possesses a special type of visual processing systems called peripheral vision. Partitioning the entire visual field into multiple contour regions based on the distance to the center of our gaze, the peripheral vision provides us the ability to perceive various visual features at different regions.
Juhong Min +3 more
openaire +3 more sources
ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis [PDF]
IEEE Transactions on Medical Imaging, 2021 Generative adversarial models with convolutional neural network (CNN) backbones have recently been established as state-of-the-art in numerous medical image synthesis tasks. However, CNNs are designed to perform local processing with compact filters, and
Onat Dalmaz, Mahmut Yurt, Tolga Cukur
semanticscholar +1 more source
Vision Transformers for Vein Biometric Recognition
IEEE Access, 2023 In October 2020, Google researchers present a promising Deep Learning architecture paradigm for Computer Vision that outperforms the already standard Convolutional Neural Networks (CNNs) on multiple image recognition state-of-the-art datasets: Vision ...
Raul Garcia-Martin, Raul Sanchez-Reillo
doaj +1 more source
DaViT: Dual Attention Vision Transformers [PDF]
European Conference on Computer Vision, 2022 In this work, we introduce Dual Attention Vision Transformers (DaViT), a simple yet effective vision transformer architecture that is able to capture global context while maintaining computational efficiency.
Mingyu Ding +5 more
semanticscholar +1 more source