SAM 3 can segment objects via prompt. The AI model is fun as an editor, but also helpful for data labeling and essential for ...

Dividing patients into groups based on how they behave towards their condition can aid understanding of the issues that affect them and improve outcomes, such as quality of life in long-term ...

Abstract: In the semantic segmentation of remote sensing images, methods based on convolutional neural networks (CNNs) and Transformers have been extensively studied. Nevertheless, CNN struggles to ...

Multimodal Information Decoupling Enhanced Prompt: We propose a novel decoupling strategy, which decouples MLLM-generated annotations into distinct, label-rich text/visual representations, enabling ...

Most existing approaches to referring segmentation achieve strong performance only through fine-tuning or by composing multiple pre-trained models, often at the cost of additional training and ...