Abstract: The encoder-decoder model is a commonly used Deep learning (DL) model for medical image segmentation. Encoder-decoder models make pixel-wise predictions that focus heavily on local patterns.

The goal of multi-object tracking is to estimate the states of multiple objects while conserving their identifications under appearance and motion variations with time. In a complex scene, this ...

Adobe's photo editing lineup has confused photographers for years. I break down the key differences in features, AI tools, ...

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This is the main repository for the Latent Meaning Cells (LMC) Model. The LMC is a Latent Variable Model for Jointly Modeling Words and Document Metadata. This is the official PyTorch codebase for the ...

随着人工智能技术的飞速演进，智能代理（AI Agent）已从单一任务执行工具向多模态协同系统转变。传统单智能体工具在复杂业务场景中逐渐暴露出局限性，如任务处理能力单一、跨系统协作困难、企业级部署复杂等问题，难以满足现代业务对智能化、自动化的 ...