Note: This model has been trained for approximately 2.7M steps (batch size = 1) and is still in the training process. I have attached a .ipynb file in the repository. You can refer to it to know how ...
Abstract: Object pose estimation in open-world scenarios is a critical challenge in robotics, virtual reality, and autonomous driving. In this letter, we introduce SamPose, a novel framework designed ...
According to @godofprompt, a structured AI mega prompt for presentation design is transforming how pitch decks, keynotes, and sales slides are created. This prompt breaks down the design process into ...
Prompt engineering is essential for maximizing AI’s capability, emphasizing the importance of precise input for quality output. AI collaboration should be iterative and precise, with role-based ...
Abstract: Few Shot or Single Shot Segmentation of an object part is a challenging problem owing to various factors involving scarcity of part segmentation labels and varying scale and pose of the ...
Cybersecurity researchers are calling attention to a new campaign dubbed JS#SMUGGLER that has been observed leveraging compromised websites as a distribution vector for a remote access trojan named ...
A Model Context Protocol (MCP) server that provides a "prompts" primitive for managing and serving customizable prompt templates. This server allows you to create, organize, and serve prompt templates ...
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