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Video-Text Retrieval

Video-Text retrieval requires understanding of both video and language together. Therefore it's different to video retrieval task.

Papers

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Showing 101–111 of 111 papers

TitleStatusHype
Videoprompter: an ensemble of foundational models for zero-shot video understanding—0
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations—0
Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception—0
CLIP2TV: Align, Match and Distill for Video-Text Retrieval—0
ViLEM: Visual-Language Error Modeling for Image-Text Retrieval—0
ViSeRet: A simple yet effective approach to moment retrieval via fine-grained video segmentation—0
Boosting Video-Text Retrieval with Explicit High-Level Semantics—0
VLAB: Enhancing Video Language Pre-training by Feature Adapting and Blending—0
Memory Enhanced Embedding Learning for Cross-Modal Video-Text Retrieval—0
Multi-Scale Temporal Difference Transformer for Video-Text Retrieval—0
NAVERO: Unlocking Fine-Grained Semantics for Video-Language Compositionality—0
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