主要思路和创新点 ECCV 2020 的文章,是较早的将 Transformer 用于多模态的视频处理,在检索任务中,先不提对应标题的文字特征。用于提取视频特征的模态就有三个:图像特征、语音特征和语音对应的文字特征,本文提出了使用 Transformer 将它们整合在一起。 首先对于三个模态的处理分别采用了与训练的专家网络提取特征,但实际...
If you find this code useful or use the "s3d"(motion) video features, please consider citing: @inproceedings{gabeur2020mmt, TITLE = {{Multi-modal Transformer for Video Retrieval}}, AUTHOR = {Gabeur, Valentin and Sun, Chen and Alahari, Karteek and Schmid, Cordelia}, BOOKTITLE = {{Europe...
As shown in Figure 2, the overall architecture of our framework derives from the transformer encoder-decoder structure, and can be divided into five parts, i.e. uni-modal encoder, cross-modal encoder, query generator, query de- coder, and prediction heads. ...
Moment RetrievalQVHighlightsUMT (w/ audio + PT ASR Cpations)mAP38.08# 25 Compare Video GroundingQVHighlightsUMTR@1,IoU=0.556.23# 5 Compare R@1,IoU=0.741.18# 5 Compare Moment RetrievalQVHighlightsUMTmAP36.12# 27 Compare Highlight DetectionQVHighlightsUMT (w. PT)mAP39.12# 12 ...
Everything at Once - Multi-modal Fusion Transformer for Video Retrieval for CVPR 2022 by Nina Shvetsova et al.
Video Highlight Detection and Moment Retrieval (HD/MR) are essential in video analysis. Recent joint prediction transformer models often overlook their cro... D Paul,MR Parvez,N Mohammed,... 被引量: 0发表: 2024年 Frequency-Domain Enhanced Cross-modal Interaction Mechanism for Joint Video Moment...
Video-text retrievalTransformerMulti-modal attentionAttribute learningGraph Convolutional NetworkDespite significant advancements in deep learning-based video-text retrieval methods, three challenges persist: the alignment of fine-grained semantic information from text and video, ensuring that the obtained ...
Multi-modal transformer for video retrieval. In Proc. ECCV, volume 5. Springer, 2020. 2 [39] Shanghua Gao, Ming-Ming Cheng, Kai Zhao, Xin-Yu Zhang, Ming-Hsuan Yang, and Philip HS Torr. Res2net: A new multi-scale backbone architecture. IEEE PAMI, 2019. 2 [40] Rohit Girdhar, Joao...
《Multi-modal Transformer for Video Retrieval》(ECCV 2020) GitHub:O网页链接 [fig1]《CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application》(2020) GitHub:O网页链接 [fig3]《Variational Autoencoders with Riemannian Brownian Motion Priors》(2020) GitHub:O网页链接...
Additionally, existing approaches often lack effective mechanisms for detecting and utilizing negative proposals. To address these limitations, this paper introduces a Multi-Modal Integrated Proposal Generation Network (MIPGN), a novel framework designed to enhance video moment retrieval. First, the MIPGN...