Results 11 to 20 of about 14,577,864 (375)

RegionCLIP: Region-based Language-Image Pretraining [PDF]

Computer Vision and Pattern Recognition, 2021
Contrastive language-image pretraining (CLIP) using image-text pairs has achieved impressive results on image classification in both zero-shot and transfer learning set-tings.
Yiwu Zhong, Jianwei Yang, Pengchuan Zhang, Chunyuan Li, N. Codella, Liunian Harold Li, Luowei Zhou, Xiyang Dai, Lu Yuan, Yin Li, Jianfeng Gao   +10 more
semanticscholar   +1 more source

iRun: Horizontal and Vertical Shape of a Region-Based Graph Compression

Italian National Conference on Sensors, 2022
Graph data are pervasive worldwide, e.g., social networks, citation networks, and web graphs. A real-world graph can be huge and requires heavy computational and storage resources for processing.
Muhammad Umair, Young-Koo Lee
semanticscholar   +1 more source

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015
State-of-the-art object detection networks depend on region proposal algorithms to hypothesize object locations. Advances like SPPnet and Fast R-CNN have reduced the running time of these detection networks, exposing region proposal computation as a ...
Shaoqing Ren, Kaiming He, Ross B. Girshick, Jian Sun   +3 more
semanticscholar   +1 more source

Baseline Characteristics and Outcomes of 1591 Patients Infected With SARS-CoV-2 Admitted to ICUs of the Lombardy Region, Italy.

Journal of the American Medical Association (JAMA), 2020
Importance In December 2019, a novel coronavirus (severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2]) emerged in China and has spread globally, creating a pandemic. Information about the clinical characteristics of infected patients who require
G. Grasselli, A. Zangrillo, A. Zanella, M. Antonelli, L. Cabrini, A. Castelli, D. Cereda, A. Coluccello, G. Foti, R. Fumagalli, G. Iotti, N. Latronico, L. Lorini, S. Merler, G. Natalini, A. Piatti, M. Ranieri, A. Scandroglio, E. Storti, M. Cecconi, A. Pesenti   +20 more
semanticscholar   +1 more source

Covid-19 in Critically Ill Patients in the Seattle Region — Case Series

New England Journal of Medicine, 2020
Background Community transmission of coronavirus 2019 (Covid-19) was detected in the state of Washington in February 2020. Methods We identified patients from nine Seattle-area hospitals who were admitted to the intensive care unit (ICU) with confirmed ...
P. Bhatraju, Bijan J. Ghassemieh, M. Nichols, R. Kim, Keith R. Jerome, Arun K. Nalla, A. Greninger, S. Pipavath, M. Wurfel, Laura Evans, Patricia A. Kritek, T. E. West, A. Luks, A. Gerbino, Chris R. Dale, Jason D. Goldman, Shane D. O'Mahony, C. Mikacenic   +17 more
semanticscholar   +1 more source

Training Region-Based Object Detectors with Online Hard Example Mining [PDF]

Computer Vision and Pattern Recognition, 2016
The field of object detection has made significant advances riding on the wave of region-based ConvNets, but their training procedure still includes many heuristics and hyperparameters that are costly to tune.
Abhinav Shrivastava, A. Gupta, Ross B. Girshick   +2 more
semanticscholar   +1 more source

Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models [PDF]

International Journal of Computer Vision, 2015
The Flickr30k dataset has become a standard benchmark for sentence-based image description. This paper presents Flickr30k Entities, which augments the 158k captions from Flickr30k with 244k coreference chains, linking mentions of the same entities across
Bryan A. Plummer, Liwei Wang, Christopher M. Cervantes, Juan C. Caicedo, J. Hockenmaier, Svetlana Lazebnik   +5 more
semanticscholar   +1 more source

Endovascular Therapy for Acute Stroke with a Large Ischemic Region.

New England Journal of Medicine, 2022
BACKGROUND Endovascular therapy for acute ischemic stroke is generally avoided when the infarction is large, but the effect of endovascular therapy with medical care as compared with medical care alone for large strokes has not been well studied ...
Shinichi Yoshimura, Nobuyuki Sakai, H. Yamagami, K. Uchida, M. Beppu, Kazunori Toyoda, Y. Matsumaru, Y. Matsumoto, Kazumi Kimura, M. Takeuchi, Y. Yazawa, Naoto Kimura, Keigo Shigeta, H. Imamura, Ichiro Suzuki, Y. Enomoto, So Tokunaga, Kenichi Morita, Fumihiro Sakakibara, Norito Kinjo, Takuya Saito, Reiichi Ishikura, M. Inoue, Takeshi Morimoto   +23 more
semanticscholar   +1 more source

Character Region Awareness for Text Detection [PDF]

Computer Vision and Pattern Recognition, 2019
Scene text detection methods based on neural networks have emerged recently and have shown promising results. Previous methods trained with rigid word-level bounding boxes exhibit limitations in representing the text region in an arbitrary shape. In this
Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, Hwalsuk Lee   +4 more
semanticscholar   +1 more source

Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition [PDF]

IEEE Transactions on Image Processing, 2019
Occlusion and pose variations, which can change facial appearance significantly, are two major obstacles for automatic Facial Expression Recognition (FER). Though automatic FER has made substantial progresses in the past few decades, occlusion-robust and
K. Wang, Xiaojiang Peng, Jianfei Yang, Debin Meng, Y. Qiao   +4 more
semanticscholar   +1 more source