Every AI model depends on labeled data. Data annotation is the process of tagging images, text, audio, or video so that ...
Abstract: 6D object tracking plays an important role in various applications, including robotic manipulation and virtual reality. While current methodologies have achieved significant advancements ...
Microsoft warns that MCP tool descriptions can be manipulated to redirect AI agents, exposing sensitive data through trusted ...
With that conviction at its core, DATALAND has partnered with to create an aural environment unlike anything found in any ...
Abstract: 6D object pose estimation is a fundamental yet challenging problem in computer vision. Convolutional Neural Networks (CNNs) have recently proven to be capable of predicting reliable 6D pose ...
Text-to-CAD tools are beginning to generate useful 3D models from prompts, but the most important missing feature is not geometry — it is intent.
If you find this repo helpful, we would appreciate it if you could cite our survey. @article{tan2024large, title={Large language models for data annotation: A survey}, author={Tan, Zhen and Li, Dawei ...
Scores of different models across the three tasks in P3D-Bench. The Score is the average of the four bucket scores (Geometry, Topology, Judge, Part), rescaled to 0–100. Multimodal large language ...
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