Abstract: Random splitting strategy is a common approach for training, testing, and validating object detection algorithms based on deep learning. Is common for datasets to have images extracted from ...
🔍 PDF parser for AI data extraction — Extract Markdown, JSON (with bounding boxes), and HTML from any PDF. #1 in benchmarks (0.907 overall). Deterministic local mode + AI hybrid mode for complex ...
More than an Instagram meme, the “sad beige” aesthetic has trended everywhere from living rooms to bedrooms and even children’s rooms in recent years. While sleek, after living with this look for a ...
[IROS'25] This repository is the official implementation of WMNav, a novel World Model-based Object Goal Navigation framework powered by Vision-Language Models. agent_cfg: ... vlm_cfg: model_cls: ...
We can all agree that an extra layer of protection is always a welcome option when securing our devices. However, modern methods that require you to insert a physical security key into the USB port ...
Being data-driven isn’t about having the best tools — it’s about leaders acting on the right signals quickly and consistently.
Abstract: In the context of autonomous driving, it is both critical and challenging to locate 3D objects by using a calibrated RGB image. Current methods typically utilize heteroscedastic aleatoric ...
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