Chan-Seop Park

MVLM: Template-Free Tracking via Vision-Language Margin Confidence and Memory-Gated Tracking

We introduce a new template-free tracking paradigm based solely on natural language, capable of tracking an arbitrary object and seamlessly switching to a new target without box initialization.Our key idea is to localize an object via vision-language (VL) correlation.However, using the correlation a