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Found 3 papers, 1 papers with code
Pathological Primitive Segmentation Based on Visual Foundation Model with Zero-Shot Mask Generation
Primitive detection and segmentation in digitized tissue samples are essential for objective and automated diagnosis and prognosis of cancer.
ViTs are Everywhere: A Comprehensive Study Showcasing Vision Transformers in Different Domain
Transformer-based models outperform other types of networks, such as convolutional and recurrent neural networks, in a range of visual benchmarks.
DANet: Enhancing Small Object Detection through an Efficient Deformable Attention Network
Simultaneously, when evaluated on the Pascal VOC dataset, our model showcases its ability to detect objects across a wide spectrum of categories within complex and small scenes.
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