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ViDT: An Efficient and Effective Fully Transformer-based Object Detector

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
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Papers citing "ViDT: An Efficient and Effective Fully Transformer-based Object Detector"

3 / 3 papers shown
Title
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers
Shravan Venkatraman
Jaskaran Singh Walia
J. Raheja
ViT
67
0
0
14 Nov 2024
Rethinking Spatial Dimensions of Vision Transformers
Rethinking Spatial Dimensions of Vision Transformers
Byeongho Heo
Sangdoo Yun
Dongyoon Han
Sanghyuk Chun
Junsuk Choe
Seong Joon Oh
ViT
452
573
0
30 Mar 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
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
356
3,660
0
24 Feb 2021

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