Video Question Answering: a Survey of Models and Datasets-Reference-Cited by-同舟云学术

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Video Question Answering: a Survey of Models and Datasets

Published:2021-01-25 Issue:5 Volume:26 Page:1904-1937
ISSN:1383-469X
Container-title:Mobile Networks and Applications
language:en
Short-container-title:Mobile Netw Appl

Author:

Sun Guanglu,Liang Lili,Li Tianlin,Yu Bo,Wu Meng,Zhang Bolun

Funder

The National Natural Science Foundation of China

The Scientific Research Foundation for The Overseas Returning Person of Heilongjiang Province of China

The Fundamental Research Foundation for Universities of Heilongjiang Province

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s11036-020-01730-0.pdf

Reference109 articles.

1. Lin T Y, Dollár P, Girshick R, He K, Hariharan B, Belongie S (2017) Feature pyramid networks for object detection[C]. Proceedings of the IEEE conference on computer vision and pattern recognition, 2117–2125

2. Maninis K K , Caelles S , Chen Y (2018) Video object segmentation without temporal information[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence 41(6):1515–1530

3. Wong W K , Lai Z, Wen J, Fang X, Lu Y (2017) Low-rank embedding for robust image feature extraction[J]. IEEE Transactions on Image Processing 26(6): 2905–2917

4. Lu J, Peng Y, Qi GJ, Jun Y (2020) Guest editorial introduction to the special section on representation learning for visual content understanding[J]. IEEE Transactions on Circuits and Systems for Video Technology 30(9):2797–2800

5. Anjum A, Abdullah T, Tariq MF, Baltaci Y, Antonopoulos N (2019) Video stream analysis in clouds: an object detection and classification framework for high performance video analytics [J]. IEEE Trans Cloud Comput 7(4):1152–1167

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1. M ² -RAAP: A Multi-Modal Recipe for Advancing Adaptation-based Pre-training towards Effective and Efficient Zero-shot Video-text Retrieval;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

2. Video Q &A based on two-stage deep exploration of temporally-evolving features with enhanced cross-modal attention mechanism;Neural Computing and Applications;2024-02-27

3. IntentQA: Context-aware Video Intent Reasoning;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

4. CNVid-3.5M: Build, Filter, and Pre-Train the Large-Scale Public Chinese Video-Text Dataset;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

5. Research on deep learning video game simulation algorithm based on western wind music;Entertainment Computing;2023-05

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