US researchers have developed an AI-driven robotic assembly system that builds physical objects requested as text ...
A modular ROS 2 package for vision-language model (VLM) based perception, supporting zero-shot object detection, entity property recognition (gestures, emotions), and relation detection.
That is why CowaRobot chose sanitation as its starting point. “Our approach is pragmatic,” said Liao Wenlong, the company’s ...
Abstract: Classification of pathological images is the basis for automatic cancer diagnosis. Despite that deep learning methods have achieved remarkable performance, they heavily rely on labeled data, ...
Abstract: Vision-language modeling (VLM) aims to bridge the information gap between images and natural language. Under the new paradigm of first pretraining on massive image-text pairs and then ...
A workspace to pretrain, finetune, and evaluate DEJIMA VLM. It includes simple environment tooling, training scripts, and evaluation runners for Japanese and general benchmarks. env/ env.sh # ...
The advancement of large Vision-Language-Action (VLA) models has significantly improved robotic manipulation in terms of language-guided task execution and generalization to unseen scenarios. While ...
Vision language models (VLMs) have shown remarkable capabilities in integrating linguistic and visual reasoning but remain fundamentally limited in understanding dynamic spatiotemporal interactions.
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