Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection

19 May 2022

Papers citing "Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection"

6 / 6 papers shown

Title
MaeFuse: Transferring Omni Features with Pretrained Masked Autoencoders for Infrared and Visible Image Fusion via Guided Training Jiayang Li Junjun Jiang Pengwei Liang Jiayi Ma Liqiang Nie 37 1 0 17 Apr 2024
Proposal Distribution Calibration for Few-Shot Object Detection Bohao Li Chang-rui Liu Mengnan Shi Xiaozhong Chen Xiang Ji QiXiang Ye ObjD 13 5 0 15 Dec 2022
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
ViDT: An Efficient and Effective Fully Transformer-based Object Detector Hwanjun Song Deqing Sun Sanghyuk Chun Varun Jampani Dongyoon Han Byeongho Heo Wonjae Kim Ming-Hsuan Yang 78 75 0 08 Oct 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 263 3,538 0 24 Feb 2021
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 261 10,106 0 16 Nov 2016