Neighborhood re-ranking via Hungarian matching and query-conditioned local steering improve CLIP retrieval on attribute-binding and compositional tasks by addressing local geometric inconsistencies.
A CLIP-Hitchhiker’s Guide to Long Video Retrieval
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Short, simple captions describing single actions achieve higher retrieval recall than complex multi-step or fine-grained scene descriptions across all tested models.
LEViL performs annotation-free video pretraining via VLM-generated pseudo-label spaces and zero-shot distillation, then uses target-aware fine-tuning to outperform semi-supervised baselines on UCF101 and HMDB51 in limited-label settings.
Survey summarizing video-language understanding tasks, challenges, and methods from architecture, training, and data perspectives, including performance comparisons and future directions.
citing papers explorer
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Geometry-Aware CLIP Retrieval via Local Cross-Modal Alignment and Steering
Neighborhood re-ranking via Hungarian matching and query-conditioned local steering improve CLIP retrieval on attribute-binding and compositional tasks by addressing local geometric inconsistencies.
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Understanding the Performance Plateau in Text-to-Video Retrieval: A Comprehensive Empirical and Linguistic Analysis
Short, simple captions describing single actions achieve higher retrieval recall than complex multi-step or fine-grained scene descriptions across all tested models.
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LEViL: Label-Efficient Video Learning via Zero-Shot Distillation over VLM-Generated Pseudo-Label Spaces
LEViL performs annotation-free video pretraining via VLM-generated pseudo-label spaces and zero-shot distillation, then uses target-aware fine-tuning to outperform semi-supervised baselines on UCF101 and HMDB51 in limited-label settings.
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Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives
Survey summarizing video-language understanding tasks, challenges, and methods from architecture, training, and data perspectives, including performance comparisons and future directions.
- SRL-CLIP: Efficient CLIP Video Adaptation via Structured Semantic Role Labels