Multimodal characterization of single cells offers unprecedented resolution and depth for research in fundamental biology, pathology, and drug development. However, limited by labeling techniques or ...

Image classification is one of AI's most common tasks, where a system is required to recognize an object from a given image. Yet real life requires us to recognize not a single standalone object but ...

NAN-DETR introduces three key improvements to transformer-based object detection: a decoder-based multi-anchor strategy, a centralization noising mechanism, and the integration of Complete ...

Training with more data has always been the most stable and effective way of improving performance in the deep learning era. The Open Images dataset, the largest object detection dataset, presents ...

The recognized objects undergo analysis for object-to-object relationships. Finally, an AlexNet Neural Network is employed to predict the scene label based on the relationships between the objects. An ...

Weakly Supervised Video Salient Object Detection (WSVSOD) only requires coarse-grained manual annotations, which can achieve a good trade-off between labeling efficiency and detection performance. In ...