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Researchers have developed a way to use high-frequency electromagnetic waves to visualize objects that are hidden from view – ...
The robotic arm could help farmers harvest crops even in increasingly challenging conditions, such as rising temperatures.
Accurate histological classification of lung cancer in CT images is essential for diagnosis and treatment planning. In this study, we propose a vision transformer (ViT) model with two-stage ...
Camouflaged object detection (COD) and salient object detection (SOD) are two distinct yet closely-related computer vision tasks widely studied during the past decades. Though sharing the same purpose ...
Japan's Sumitomo and impact investment fund Builders Vision have invested in U.S.-based rare earths processing startup Phoenix Tailings, the latest move by manufacturers to boost production of the ...
House Of Representatives White House quietly floats millionaire tax hike proposal in Congress as GOP leaders signal opposition Republicans are discussing ways to pay for Trump's new tax policies ...
@article{feng2025vision, title={Vision-Language Model for Object Detection and Segmentation: A Review and Evaluation}, author={Feng, Yongchao and Liu, Yajie and Yang, Shuai and Cai, Wenrui and Zhang, ...
While features of different scales are perceptually important to visual inputs, existing vision transformers do not yet take advantage of them explicitly. To this end, we first propose a cross-scale ...
Glucagon-like peptide 1 (GLP-1) receptor agonists, which are used to treat type 2 diabetes and/or obesity, were linked to vision problems in a small study at the University of British Columbia.
Robotic vision, a cornerstone of modern robotics, enables machines to interpret and respond to their surroundings effectively. This capability is achieved through image processing and object ...
The transformer-based semantic segmentation approaches, which divide the image into different regions by sliding windows and model the relation inside each window, have achieved outstanding success.
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