CAIT: Triple-Win Compression towards High Accuracy, Fast Inference, and Favorable Transferability For ViTs

27 September 2023

Papers citing "CAIT: Triple-Win Compression towards High Accuracy, Fast Inference, and Favorable Transferability For ViTs"

5 / 5 papers shown

Title
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
T6D-Direct: Transformers for Multi-Object 6D Pose Direct Regression Arash A. Amini Arul Selvam Periyasamy Sven Behnke ViT 47 28 0 22 Sep 2021
CMT: Convolutional Neural Networks Meet Vision Transformers Jianyuan Guo Kai Han Han Wu Yehui Tang Chunjing Xu Yunhe Wang Chang Xu ViT 328 500 0 13 Jul 2021
TransReID: Transformer-based Object Re-Identification Shuting He Haowen Luo Pichao Wang F. Wang Hao Li Wei Jiang ViT 213 769 0 08 Feb 2021
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014