Article

Fine-Grained Multimodal Alignment and Iterative Rectification Learning Framework

2025-11-13

Abstract excerpt

Current multimodal models show strong general understanding across vision and language but often struggle with detailed visual grounding, complex reasoning, and spatial consistency. To address these challenges, we introduce a Fine-Grained Multimodal Alignment and Iterative Rectification Learning Framework (FGAM). The framework follows a two-stage paradigm. In the first stage, fine-grained cross-modal pre-training...

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Literature Corpus work: e6310760-ec22-573f-9d34-ee1c02333bf3
DOI: 10.20944/preprints202511.0987.v1

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