Vision Transformers in 2022: An Update on Tiny ImageNet

21 May 2022

Papers citing "Vision Transformers in 2022: An Update on Tiny ImageNet"

9 / 9 papers shown

Title
A Model Zoo of Vision Transformers Damian Falk Léo Meynent Florence Pfammatter Konstantin Schurholt Damian Borth 34 0 0 14 Apr 2025
Towards Optimal Trade-offs in Knowledge Distillation for CNNs and Vision Transformers at the Edge John Violos Symeon Papadopoulos Ioannis Kompatsiaris 21 2 0 25 Jun 2024
When Prompt-based Incremental Learning Does Not Meet Strong Pretraining Yuyao Tang Yifan Peng Weiwen Zheng CLL VLM 28 32 0 21 Aug 2023
Learn to Accumulate Evidence from All Training Samples: Theory and Practice Deepshikha Pandey Qi Yu EDL 27 16 0 19 Jun 2023
Astroformer: More Data Might not be all you need for Classification Rishit Dagli 28 7 0 03 Apr 2023
MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention Wenyuan Zeng Meng Li Wenjie Xiong Tong Tong Wen-jie Lu Jin Tan Runsheng Wang Ru Huang 22 20 0 25 Nov 2022
Diffuser: Efficient Transformers with Multi-hop Attention Diffusion for Long Sequences Aosong Feng Irene Z Li Yuang Jiang Rex Ying 24 18 0 21 Oct 2022
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 176 686 0 22 Apr 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 296 39,194 0 01 Sep 2014