Interleaved Image-Text Alignment
A multimodal alignment strategy that models cross-modal dependencies at the sequence level through interleaved image-text sequences, reducing the semantic distance between the visual and language modalities.
Timeline (last 90 days)
Interleaved Image-Text Alignment uses interleaved image-text responses to establish cross-modal connections; providing guidance on selected entities improves the model's knowledge acquisition for other entities, and does not require the direct participation of question-answering supervision signals.
Interleaved Image-Text Alignment draws on the idea of interleaved image-text pretraining, such as the cross-modal attention structures adopted in works like Flamingo and OpenFlamingo.
All Facts (2)
Interleaved Image-Text Alignment uses interleaved image-text responses to establish cross-modal connections; providing guidance on selected entities improves the model's knowledge acquisition for other entities, and does not require the direct participation of question-answering supervision signals.
50%UnverifiedInterleaved Image-Text Alignment draws on the idea of interleaved image-text pretraining, such as the cross-modal attention structures adopted in works like Flamingo and OpenFlamingo.
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