Generalized Moment Retrieval (GMR) is introduced as a unified task with the Soccer-GMR benchmark and adapter models that retrieve multiple or zero matching moments from videos.
arXiv preprint arXiv:2501.10787 , year=
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TaRO improves video temporal grounding in MLLMs via constructive reasoning exploration from dense captions and a temporal-sensitivity reward that uses logit drops on disrupted event boundaries, followed by curriculum learning to SOTA results.
MASRA improves video temporal grounding accuracy by using MLLM-generated textual priors for event semantic alignment and local relational consistency during training only.
citing papers explorer
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Retrieving Any Relevant Moments: Benchmark and Models for Generalized Moment Retrieval
Generalized Moment Retrieval (GMR) is introduced as a unified task with the Soccer-GMR benchmark and adapter models that retrieve multiple or zero matching moments from videos.
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Temporal-Aware Reasoning Optimization for Video Temporal Grounding
TaRO improves video temporal grounding in MLLMs via constructive reasoning exploration from dense captions and a temporal-sensitivity reward that uses logit drops on disrupted event boundaries, followed by curriculum learning to SOTA results.
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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.