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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 51–100 of 111 papers

TitleStatusHype
Video Editing for Video Retrieval—0
Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception—0
An Empirical Study of Excitation and Aggregation Design Adaptions in CLIP4Clip for Video-Text Retrieval—0
Beyond Coarse-Grained Matching in Video-Text Retrieval—0
Boosting Video-Text Retrieval with Explicit High-Level Semantics—0
CLIP2TV: Align, Match and Distill for Video-Text Retrieval—0
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations—0
Deep Learning for Video-Text Retrieval: a Review—0
Deep Semantic Multimodal Hashing Network for Scalable Image-Text and Video-Text Retrievals—0
Dual Alignment Unsupervised Domain Adaptation for Video-Text Retrieval—0
EA-VTR: Event-Aware Video-Text Retrieval—0
Exploiting Visual Semantic Reasoning for Video-Text Retrieval—0
CaReBench: A Fine-Grained Benchmark for Video Captioning and Retrieval—0
Generalizing Multimodal Pre-training into Multilingual via Language Acquisition—0
HaVTR: Improving Video-Text Retrieval Through Augmentation Using Large Foundation Models—0
HENASY: Learning to Assemble Scene-Entities for Egocentric Video-Language Model—0
HiT: Hierarchical Transformer with Momentum Contrast for Video-Text Retrieval—0
HiVLP: Hierarchical Interactive Video-Language Pre-Training—0
LaT: Latent Translation with Cycle-Consistency for Video-Text Retrieval—0
Learning Audio-guided Video Representation with Gated Attention for Video-Text Retrieval—0
Learning Context-Adapted Video-Text Retrieval by Attending to User Comments—0
Learning with Noisy Correspondence—0
Leveraging Generative Language Models for Weakly Supervised Sentence Component Analysis in Video-Language Joint Learning—0
LV-MAE: Learning Long Video Representations through Masked-Embedding Autoencoders—0
Masked Contrastive Pre-Training for Efficient Video-Text Retrieval—0
Mask to reconstruct: Cooperative Semantics Completion for Video-text Retrieval—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
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks—0
Rethinking Noisy Video-Text Retrieval via Relation-aware Alignment—0
RETTA: Retrieval-Enhanced Test-Time Adaptation for Zero-Shot Video Captioning—0
Retrieving and Highlighting Action with Spatiotemporal Reference—0
Stacked Convolutional Deep Encoding Network for Video-Text Retrieval—0
Synopses of Movie Narratives: a Video-Language Dataset for Story Understanding—0
Synopses of Movie Narratives: a Video-Language Dataset for Story Understanding—0
Tagging before Alignment: Integrating Multi-Modal Tags for Video-Text Retrieval—0
Text-Adaptive Multiple Visual Prototype Matching for Video-Text Retrieval—0
TokenFlow: Rethinking Fine-grained Cross-modal Alignment in Vision-Language Retrieval—0
Towards Understanding Camera Motions in Any Video—0
Uncertainty-Aware Alignment Network for Cross-Domain Video-Text Retrieval—0
Uncertainty-Aware Alignment Network for Cross-Domain Video-Text Retrieval—0
Uncertainty-aware sign language video retrieval with probability distribution modeling—0
Unified Loss of Pair Similarity Optimization for Vision-Language Retrieval—0
Unifying Latent and Lexicon Representations for Effective Video-Text Retrieval—0
V^2Dial: Unification of Video and Visual Dialog via Multimodal Experts—0
V^2Dial: Unification of Video and Visual Dialog via Multimodal Experts—0
Videoprompter: an ensemble of foundational models for zero-shot video understanding—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
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