TextFM: Robust Semi-dense Feature Matching with Language Guidance
TextFM is presented, the first language-guided feature matching framework that incorporates domain-invariant semantic information from vision-language models (VLMs) to establish a strong foundation for robust and generalizable feature matching under real-world constraints.
Zhihao Zheng, Jinglun Feng, Nirav Savaliya et al.
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