MASRA improves video temporal grounding accuracy by using MLLM-generated textual priors for event semantic alignment and local relational consistency during training only.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
MASRA: MLLM-Assisted Semantic-Relational Consistent Alignment for Video Temporal Grounding
MASRA improves video temporal grounding accuracy by using MLLM-generated textual priors for event semantic alignment and local relational consistency during training only.