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Video copy localization aims to precisely localize all the copied segments within a pair of untrimmed videos in video retrieval applications.
A simple semi-supervised learning framework for object detection
Sohn, K.; Zhang, Z.; Li, C.-L.; Zhang, H.; Lee, C.-Y.; and Pfister, T. 2020 · 2005
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Scalable Detection of Partial Near-Duplicate Videos by Visual-Temporal Consistency
Tan, H.-K.; Ngo, C.-W.; Hong, R.; and Chua, T.-S. 2009 · 2009
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An image is worth 16x16 words: Transformers for image recognition at scale
Dosovitskiy, A.; Beyer, L.; Kolesnikov, A.; Weissenborn, D.; Zhai, X.; Unterthiner, T.; Dehghani, M.; Minderer, M.; Heigold, G.; Gelly, S.; et al. 2020 · 2010
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An Image-Based Approach to Video Copy Detection With Spatio-Temporal Post-Filtering
Douze, M.; Jegou, H.; and Schmid, C. 2010 · 2010
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VCDB: a large-scale database for partial copy detection in videos
Jiang, Y.-G.; Jiang, Y.; and Wang, J. 2014 · 2014
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Pattern-based near-duplicate video retrieval and localization on web-scale videos
Chou, C.-L.; Chen, H.-T.; and Lee, S.-Y. 2015 · 2015
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Temporal Matching Kernel with Explicit Feature Maps
Poullot, S.; Tsukatani, S.; Nguyen, A.; Jégou, H.; and Satoh, S. 2015 · 2015
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Attention is all you need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, Ł.; and Polosukhin, I. 2017 · 2017
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LAMV: Learning to Align and Match Videos with Kernelized Temporal Layers
Baraldi, L.; Douze, M.; Cucchiara, R.; and Jegou, H. 2018 · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2018 · 2018
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Neighbourhood consensus networks
Rocco, I.; Cimpoi, M.; Arandjelović, R.; Torii, A.; Pajdla, T.; and Sivic, J. 2018 · 2018
Cited alongside, same era.
SVD: A Large-Scale Short Video Dataset for Near-Duplicate Video Retrieval
Jiang, Q.-Y.; He, Y.; Li, G.; Lin, J.; Li, L.; and Li, W.-J. 2019 · 2019
Cited alongside, same era.
End-to-end object detection with transformers
Carion, N.; Massa, F.; Synnaeve, G.; Usunier, N.; Kirillov, A.; and Zagoruyko, S. 2020 · 2020
Cited alongside, same era.
Transformers are rnns: Fast autoregressive transformers with linear attention
Katharopoulos, A.; Vyas, A.; Pappas, N.; and Fleuret, F. 2020 · 2020
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Yolox: Exceeding yolo series in 2021
Ge, Z.; Liu, S.; Wang, F.; Li, Z.; and Sun, J. 2021 · 2021
Cited alongside, same era.
Video Similarity and Alignment Learning on Partial Video Copy Detection
Segmenter: Transformer for semantic segmentation
Strudel, R.; Garcia, R.; Laptev, I.; and Schmid, C. 2021 · 2021
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LoFTR: Detector-free local feature matching with transformers
Sun, J.; Shen, Z.; Wang, Y.; Bao, H.; and Zhou, X. 2021 · 2021
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Self-supervised wasserstein pseudo-labeling for semi-supervised image classification
Taherkhani, F.; Dabouei, A.; Soleymani, S.; Dawson, J.; and Nasrabadi, N. M. 2021 · 2021
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Yokoo, S. 2021 · 2021
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Instant-teaching: An end-to-end semi-supervised object detection framework
Zhou, Q.; Yu, C.; Wang, Z.; Qian, Q.; and Li, H. 2021 · 2021
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Han, Z.; He, X.; Tang, M.; and Lv, Y. 2021 · 2021
Cited alongside, same era.
Simple: similar pseudo label exploitation for semi-supervised classification
Hu, Z.; Yang, Z.; Hu, X.; and Nevatia, R. 2021 · 2021
Cited alongside, same era.
Learning Segment Similarity and Alignment in Large-Scale Content Based Video Retrieval
Jiang, C.; Huang, K.; He, S.; Yang, X.; Zhang, W.; Zhang, X.; Cheng, Y.; Yang, L.; Wang, Q.; Xu, F.; et al. 2021 · 2021
Cited alongside, same era.
Results and findings of the 2021 Image Similarity Challenge
Papakipos, Z.; Tolias, G.; Jenicek, T.; Pizzi, E.; Yokoo, S.; Wang, W.; Sun, Y.; Zhang, W.; Yang, Y.; Addicam, S.; et al. 2022 · 2021
Cited alongside, same era.
Temporal Context Aggregation for Video Retrieval With Contrastive Learning
Shao, J.; Wen, X.; Zhao, B.; and Xue, X. 2021 · 2021
Cited alongside, same era.
FIVR: Fine-grained incident video retrieval
Kordopatis-Zilos, G.; Papadopoulos, S.; Patras, I.; and Kompatsiaris, I. 2019a
Cited in the paper.
ViSiL: Fine-grained spatio-temporal video similarity learning
Kordopatis-Zilos, G.; Papadopoulos, S.; Patras, I.; and Kompatsiaris, I. 2019b
Cited in the paper.
A Large-scale Comprehensive Dataset and Copy-overlap Aware Evaluation Protocol for Segment-level Video Copy Detection
He, S.; Yang, X.; Jiang, C.; et al. 2022 · 2022
Closest in time.
Learning Trajectory-Aware Transformer for Video Super-Resolution
Liu, C.; Yang, H.; Fu, J.; and Qian, X. 2022 · 2022
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Semi-Weakly-Supervised Learning of Complex Actions from Instructional Task Videos
Shen, Y.; and Elhamifar, E. 2022 · 2022
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Recurring the Transformer for Video Action Recognition
Yang, J.; Dong, X.; Liu, L.; Zhang, C.; Shen, J.; and Yu, D. 2022 · 2022
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Regional semantic contrast and aggregation for weakly supervised semantic segmentation
Zhou, T.; Zhang, M.; Zhao, F.; and Li, J. 2022 · 2022
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