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It is well known that most of the conventional video question answering (VideoQA) datasets consist of easy questions requiring simple reasoning processes.
Rectified linear units improve restricted boltzmann machines
Vinod Nair and Geoffrey E Hinton · 2010
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Vqa: Visual question answering
Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, and Devi Parikh · 2015
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Microsoft coco captions: Data collection and evaluation server
Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam, Saurabh Gupta, Piotr Dollár, and C. Lawrence Zitnick · 2015
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Gaussian error linear units (gelus)
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Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch · 2016
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Msr-vtt: A large video description dataset for bridging video and language
Jun Xu, Tao Mei, Ting Yao, and Yong Rui · 2016
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Akiko Eriguchi, Yoshimasa Tsuruoka, and Kyunghyun Cho · 2017
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Tgif-qa: Toward spatio-temporal reasoning in visual question answering
Yunseok Jang, Yale Song, Youngjae Yu, Youngjin Kim, and Gunhee Kim · 2017
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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Marioqa: Answering questions by watching gameplay videos
Jonghwan Mun, Paul Hongsuck Seo, Ilchae Jung, and Bohyung Han · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin · 2017
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All you need is beyond a good init: Exploring better solution for training extremely deep convolutional neural networks with orthonormality and modulation
Di Xie, Jiang Xiong, and Shiliang Pu · 2017
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Video question answering via gradually refined attention over appearance and motion
Dejing Xu, Zhou Zhao, Jun Xiao, Fei Wu, Hanwang Zhang, Xiangnan He, and Yueting Zhuang · 2017
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Bilinear Attention Networks
Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, and Lei Zhang · 2018
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Motion-appearance co-memory networks for video question answering
Jiyang Gao, Runzhou Ge, Kan Chen, and Ram Nevatia · 2018
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Bilinear Attention Networks
Jin-Hwa Kim, Jaehyun Jun, and Byoung-Tak Zhang · 2018
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Tvqa: Localized, compositional video question answering
Jie Lei, Licheng Yu, Mohit Bansal, and Tamara L Berg · 2018
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Dependency-to-dependency neural machine translation
Shuangzhi Wu, Dongdong Zhang, Zhirui Zhang, Nan Yang, Mu Li, and Ming Zhou · 2018
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Hao Tan and Mohit Bansal · 2019
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ELECTRA: Pre-training text encoders as discriminators rather than generators
Kevin Clark, Minh-Thang Luong, Quoc V. Le, and Christopher D. Manning · 2020
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Divide and conquer: Question-guided spatio-temporal contextual attention for video question answering
Jianwen Jiang, Ziqiang Chen, Haojie Lin, Xibin Zhao, and Yue Gao · 2020
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Self-supervised pre-training and contrastive representation learning for multiple-choice video QA
Seonhoon Kim, Seohyeong Jeong, Eunbyul Kim, Inho Kang, and Nojun Kwak · 2020
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Heterogeneous memory enhanced multimodal attention model for video question answering
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BERT: Pre-training of deep bidirectional transformers for language understanding
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Dynamic fusion with intra-and inter-modality attention flow for visual question answering
Peng Gao, Zhengkai Jiang, Haoxuan You, Pan Lu, Steven CH Hoi, Xiaogang Wang, and Hongsheng Li · 2019
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Axial attention in multidimensional transformers
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Thao Minh Le, Vuong Le, Svetha Venkatesh, and Truyen Tran · 2020
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Hero: Hierarchical encoder for video+ language omni-representation pre-training
Linjie Li, Yen-Chun Chen, Yu Cheng, Zhe Gan, Licheng Yu, and Jingjing Liu · 2020
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Linformer: Self-attention with linear complexity
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Anurag Arnab, Mostafa Dehghani, Georg Heigold, Chen Sun, Mario Lučić, and Cordelia Schmid · 2021
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Is space-time attention all you need for video understanding?
Gedas Bertasius, Heng Wang, and Lorenzo Torresani · 2021
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Rethinking attention with performers
Krzysztof Marcin Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamas Sarlos, Peter Hawkins, Jared Quincy Davis, Afroz Mohiuddin, Lukasz Kaiser, David Benjamin Belanger, Lucy J Colwell, and Adrian Weller · 2021
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Agqa: A benchmark for compositional spatio-temporal reasoning
Madeleine Grunde-McLaughlin, Ranjay Krishna, and Maneesh Agrawala · 2021
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Less is more: Clipbert for video-and-language learningvia sparse sampling
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Attend what you need: Motion-appearance synergistic networks for video question answering
Ahjeong Seo, Gi-Cheon Kang, Joonhan Park, and Byoung-Tak Zhang · 2021
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Nyströmformer: A nyström-based algorithm for approximating self-attention
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