Papers with Code 아카이브
Video-Text Retrieval
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Video-Text retrieval requires understanding of both video and language together. Therefore it's different to video retrieval task.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Egocentric Video-Language Pretraining
Generalizing Multimodal Pre-training into Multilingual via Language Acquisition
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections
MILES: Visual BERT Pre-training with Injected Language Semantics for Video-text Retrieval
X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval
Synopses of Movie Narratives: a Video-Language Dataset for Story Understanding
Bridging Video-text Retrieval with Multiple Choice Questions
Video-Text Pre-training with Learned Regions
CLIP2TV: Align, Match and Distill for Video-Text Retrieval
ViSeRet: A simple yet effective approach to moment retrieval via fine-grained video segmentation
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations
Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax Loss
HANet: Hierarchical Alignment Networks for Video-Text Retrieval
CLIP2Video: Mastering Video-Text Retrieval via Image CLIP
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval
Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval
Memory Enhanced Embedding Learning for Cross-Modal Video-Text Retrieval
HiT: Hierarchical Transformer with Momentum Contrast for Video-Text Retrieval
Rudder: A Cross Lingual Video and Text Retrieval Dataset
Learning the Best Pooling Strategy for Visual Semantic Embedding
COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning
Exploiting Visual Semantic Reasoning for Video-Text Retrieval
Retrieving and Highlighting Action with Spatiotemporal Reference
Stacked Convolutional Deep Encoding Network for Video-Text Retrieval
Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning
Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval
Deep Semantic Multimodal Hashing Network for Scalable Image-Text and Video-Text Retrievals
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.