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Temporal Action Localization (TAL) involves localizing and classifying action snippets in an untrimmed video.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
Earlier work this paper cites.
Activitynet: A large-scale video benchmark for human activity understanding
Fabian Caba Heilbron, Victor Escorcia, Bernard Ghanem, and Juan Carlos Niebles · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Temporal segment networks: Towards good practices for deep action recognition
Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, and Luc Van Gool · 2016
Earlier work this paper cites.
Quo vadis, action recognition? a new model and the kinetics dataset
Joao Carreira and Andrew Zisserman · 2017
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The thumos challenge on action recognition for videos “in the wild”
Haroon Idrees, Amir R Zamir, Yu-Gang Jiang, Alex Gorban, Ivan Laptev, Rahul Sukthankar, and Mubarak Shah · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Diagnosing error in temporal action detectors
Humam Alwassel, Fabian Caba Heilbron, Victor Escorcia, and Bernard Ghanem · 2018
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A short note about kinetics-600
Joao Carreira, Eric Noland, Andras Banki-Horvath, Chloe Hillier, and Andrew Zisserman · 2018
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Bsn: Boundary sensitive network for temporal action proposal generation
Tianwei Lin, Xu Zhao, Haisheng Su, Chongjing Wang, and Ming Yang · 2018
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2018
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Autoaugment: Learning augmentation strategies from data
Ekin D Cubuk, Barret Zoph, Dandelion Mane, Vijay Vasudevan, and Quoc V Le · 2019
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Slowfast networks for video recognition
Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, and Kaiming He · 2019
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Parameter-efficient transfer learning for nlp
Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin De Laroussilhe, Andrea Gesmundo, Mona Attariyan, and Sylvain Gelly · 2019
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Bmn: Boundary-matching network for temporal action proposal generation
Tianwei Lin, Xiao Liu, Xin Li, Errui Ding, and Shilei Wen · 2019
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Boundary content graph neural network for temporal action proposal generation
Yueran Bai, Yingying Wang, Yunhai Tong, Yang Yang, Qiyue Liu, and Junhui Liu · 2020
Earlier work this paper cites.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
Cited alongside, same era.
Scale matters: Temporal scale aggregation network for precise action localization in untrimmed videos
Guoqiang Gong, Liangfeng Zheng, and Yadong Mu · 2020
Cited alongside, same era.
Not only look, but also listen: Learning multimodal violence detection under weak supervision
Peng Wu, Jing Liu, Yujia Shi, Yujia Sun, Fangtao Shao, Zhaoyang Wu, and Zhiwei Yang · 2020
Cited alongside, same era.
G-tad: Sub-graph localization for temporal action detection
Mengmeng Xu, Chen Zhao, David S Rojas, Ali Thabet, and Bernard Ghanem · 2020
Cited alongside, same era.
Bottom-up temporal action localization with mutual regularization
Peisen Zhao, Lingxi Xie, Chen Ju, Ya Zhang, Yanfeng Wang, and Qi Tian · 2020
Cited alongside, same era.
Internvideo: General video foundation models via generative and discriminative learning
Yi Wang, Kunchang Li, Yizhuo Li, Yinan He, Bingkun Huang, Zhiyu Zhao, Hongjie Zhang, Jilan Xu, Yi Liu, Zun Wang, et al · 2022
Later among the works it cites.
Aim: Adapting image models for efficient video action recognition
Taojiannan Yang, Yi Zhu, Yusheng Xie, Aston Zhang, Chen Chen, and Mu Li · 2022
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Batman: Bilateral attention transformer in motion-appearance neighboring space for video object segmentation
Ye Yu, Jialin Yuan, Gaurav Mittal, Li Fuxin, and Mei Chen · 2022
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Scaling vision transformers
Xiaohua Zhai, Alexander Kolesnikov, Neil Houlsby, and Lucas Beyer · 2022
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Actionformer: Localizing moments of actions with transformers
Chen-Lin Zhang, Jianxin Wu, and Yin Li · 2022
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Tsp: Temporally-sensitive pretraining of video encoders for localization tasks
Humam Alwassel, Silvio Giancola, and Bernard Ghanem · 2021
Cited alongside, same era.
Lora: Low-rank adaptation of large language models
Edward J Hu, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen, et al · 2021
Cited alongside, same era.
Learning salient boundary feature for anchor-free temporal action localization
Chuming Lin, Chengming Xu, Donghao Luo, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, and Yanwei Fu · 2021
Cited alongside, same era.
Unsupervised few-shot action recognition via action-appearance aligned meta-adaptation
Jay Patravali, Gaurav Mittal, Ye Yu, Fuxin Li, and Mei Chen · 2021
Cited alongside, same era.
Boundary-sensitive pre-training for temporal localization in videos
Mengmeng Xu, Juan-Manuel Pérez-Rúa, Victor Escorcia, Brais Martinez, Xiatian Zhu, Li Zhang, Bernard Ghanem, and Tao Xiang · 2021
Cited alongside, same era.
Tallformer: Temporal action localization with a long-memory transformer
Feng Cheng and Gedas Bertasius · 2022
Cited alongside, same era.
Stochastic backpropagation: A memory efficient strategy for training video models
Feng Cheng, Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Li, and Wei Xia · 2022
Cited alongside, same era.
Pivotal: Prior-driven supervision for weakly-supervised temporal action localization
Mamshad Nayeem Rizve, Gaurav Mittal, Ye Yu, Matthew Hall, Sandra Sajeev, Mubarak Shah, and Mei Chen · 2023
Later among the works it cites.
Tridet: Temporal action detection with relative boundary modeling
Dingfeng Shi, Yujie Zhong, Qiong Cao, Lin Ma, Jia Li, and Dacheng Tao · 2023
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Temporalmaxer: Maximize temporal context with only max pooling for temporal action localization
Tuan N Tang, Kwonyoung Kim, and Kwanghoon Sohn · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
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Videomae v2: Scaling video masked autoencoders with dual masking
Limin Wang, Bingkun Huang, Zhiyu Zhao, Zhan Tong, Yinan He, Yi Wang, Yali Wang, and Yu Qiao · 2023
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Protégé: Untrimmed pretraining for video temporal grounding by video temporal grounding
Lan Wang, Gaurav Mittal, Sandra Sajeev, Ye Yu, Matthew Hall, Vishnu Naresh Boddeti, and Mei Chen · 2023
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Dongshuo Yin, Xueting Han, Bin Li, Hao Feng, and Jing Bai · 2023
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Bruce XB Yu, Jianlong Chang, Haixin Wang, Lingbo Liu, Shijie Wang, Zhiyu Wang, Junfan Lin, Lingxi Xie, Haojie Li, Zhouchen Lin, et al · 2023
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Re2tal: Rewiring pretrained video backbones for reversible temporal action localization
Chen Zhao, Shuming Liu, Karttikeya Mangalam, and Bernard Ghanem · 2023
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Open-vocabulary temporal action localization using multimodal guidance
Akshita Gupta, Aditya Arora, Sanath Narayan, Salman Khan, Fahad Shahbaz Khan, and Graham W Taylor · 2024
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Can’t make an omelette without breaking some eggs: Plausible action anticipation using large video-language models
Himangi Mittal, Nakul Agarwal, Shao-Yuan Lo, and Kwonjoon Lee · 2024
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