Jun-Yi Wang

Catellect-VL-2B: A Vision-Language Model for Edge-Based Feline Behavior Understanding

The task of Feline Behavior Understanding requires models that can identify subtle visual cues, keep behavior interpretations auditable, and support low-latency, privacy-sensitive deployment. Directly prompting general Vision-Language Models (VLMs) is poorly suited to this setting: instead of first reporting visible ev...