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Visual Transformers: Where Do Transformers Really Belong in Vision Models?

B. Wu, C. Xu, X. Dai, A. Wan, P. Zhang, Z. Yan, M. Tomizuka, J. Gonzalez, K. Keutzer, и P. Vajda. ICCV, стр. 579-589. IEEE, (2021)

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Zhang Zhang

Meng Zhang

Methods and implementations of road-network matchingM. Zhang. TU München, (2009)

Yan Zhang

Yue Zhang

Xianghui Zhang

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DIME-FM : DIstilling Multimodal and Efficient Foundation Models.X. Sun, P. Zhang, P. Zhang, H. Shah, K. Saenko, и X. Xia. ICCV, стр. 15475-15487. IEEE, (2023)FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search.B. Wu, X. Dai, P. Zhang, Y. Wang, F. Sun, Y. Wu, Y. Tian, P. Vajda, Y. Jia, и K. Keutzer. CVPR, стр. 10734-10742. Computer Vision Foundation / IEEE, (2019)FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions.A. Wan, X. Dai, P. Zhang, Z. He, Y. Tian, S. Xie, B. Wu, M. Yu, T. Xu, K. Chen и 2 other автор(ы). CVPR, стр. 12962-12971. Computer Vision Foundation / IEEE, (2020)A split and merge algorithm for inter-mode decision in extended macroblocks.J. Lu, P. Zhang, и H. Chao. ICIP, стр. 2081-2084. IEEE, (2010)Inter-mode decision with varied computational complexity.J. Lu, P. Zhang, H. Chao, и P. Fisher. VCIP, том 7744 из SPIE Proceedings, стр. 77442I. SPIE, (2010)An Analysis on Quantizing Diffusion Transformers.Y. Yang, J. Wang, X. Dai, P. Zhang, и H. Zhang. CoRR, (2024)MEgATrack: monochrome egocentric articulated hand-tracking for virtual reality.S. Han, B. Liu, R. Cabezas, C. Twigg, P. Zhang, J. Petkau, T. Yu, C. Tai, M. Akbay, Z. Wang и 6 other автор(ы). ACM Trans. Graph., 39 (4): 87 (2020)Machine Learning at Facebook: Understanding Inference at the Edge.C. Wu, D. Brooks, K. Chen, D. Chen, S. Choudhury, M. Dukhan, K. Hazelwood, E. Isaac, Y. Jia, B. Jia и 16 other автор(ы). HPCA, стр. 331-344. IEEE, (2019)Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild.A. Grabner, Y. Wang, P. Zhang, P. Guo, T. Xiao, P. Vajda, P. Roth, и V. Lepetit. ECCV (16), том 12361 из Lecture Notes in Computer Science, стр. 102-119. Springer, (2020)Token Merging: Your ViT But FasterD. Bolya, C. Fu, X. Dai, P. Zhang, C. Feichtenhofer, и J. Hoffman. (2022)cite arxiv:2210.09461Comment: Accepted ICLR 2023 Oral (top 5%) final v2. This version includes stable diffusion experiments. See code at https://github.com/facebookresearch/ToMe.

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Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Yan Zhang

Yue Zhang

Xianghui Zhang

Другие публикации лиц с тем же именем

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