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Self-supervised Models are Good Teaching Assistants for Vision Transformers.

H. Wu, Y. Gao, Y. Zhang, S. Lin, Y. Xie, X. Sun, and K. Li. ICML, volume 162 of Proceedings of Machine Learning Research, page 24031-24042. PMLR, (2022)

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Shaohui Wang

Shaohui Wu

Lin Lin

Other publications of authors with the same name

Comprehensive Regularization in a Bi-directional Predictive Network for Video Anomaly Detection.C. Chen, Y. Xie, S. Lin, A. Yao, G. Jiang, W. Zhang, Y. Qu, R. Qiao, B. Ren, and L. Ma. AAAI, page 230-238. AAAI Press, (2022)Pruning Blocks for CNN Compression and Acceleration via Online Ensemble Distillation.Z. Wang, S. Lin, J. Xie, and Y. Lin. IEEE Access, (2019)Prior Knowledge-driven Dynamic Scene Graph Generation with Causal Inference.J. Lu, L. Chen, Y. Song, S. Lin, C. Wang, and G. He. ACM Multimedia, page 4877-4885. ACM, (2023)Class-imbalanced semi-supervised learning for large-scale point cloud semantic segmentation via decoupling optimization.M. Li, S. Lin, Z. Wang, Y. Shen, B. Zhang, and L. Ma. Pattern Recognit., (2024)Classifier Decoupled Training for Black-Box Unsupervised Domain Adaptation.X. Chen, Y. Shen, X. Luo, Y. Zhang, K. Li, and S. Lin. PRCV (3), volume 14427 of Lecture Notes in Computer Science, page 16-30. Springer, (2023)Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.C. Fu, Y. Dai, Y. Luo, L. Li, S. Ren, R. Zhang, Z. Wang, C. Zhou, Y. Shen, M. Zhang and 10 other author(s). CoRR, (2024)HUWSOD: Holistic Self-training for Unified Weakly Supervised Object Detection.L. Cao, J. Lin, Z. Hong, Y. Shen, S. Lin, C. Chen, and R. Ji. CoRR, (2024)ESPACE: Accelerating Convolutional Neural Networks via Eliminating Spatial and Channel Redundancy.S. Lin, R. Ji, C. Chen, and F. Huang. AAAI, page 1424-1430. AAAI Press, (2017)DCS-RISR: Dynamic Channel Splitting for Efficient Real-world Image Super-Resolution.J. Qiao, S. Lin, Y. Zhang, W. Li, J. Hu, G. He, C. Wang, and L. Ma. CoRR, (2022)Towards Compact Single Image Super-Resolution via Contrastive Self-distillation.Y. Wang, S. Lin, Y. Qu, H. Wu, Z. Zhang, Y. Xie, and A. Yao. IJCAI, page 1122-1128. ijcai.org, (2021)

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Disambiguation of "Lin, Shaohui"

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Self-supervised Models are Good Teaching Assistants for Vision Transformers.

Please choose a person to relate this publication to

Shaohui Wang

Shaohui Wu

Lin Lin

Lin Lin

Lin Lin

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Lin, Shaohui"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Self-supervised Models are Good Teaching Assistants for Vision Transformers.

Please choose a person to relate this publication to

Shaohui Wang

Shaohui Wu

Lin Lin

Lin Lin

Lin Lin

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Self-supervised Models are Good Teaching Assistants for Vision Transformers.