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Enhancing Fine-Grained 3D Object Recognition using Hybrid Multi-Modal
  Vision Transformer-CNN Models

Enhancing Fine-Grained 3D Object Recognition using Hybrid Multi-Modal Vision Transformer-CNN Models

3 October 2022
Songsong Xiong
Georgios Tziafas
H. Kasaei
    ViT
ArXivPDFHTML

Papers citing "Enhancing Fine-Grained 3D Object Recognition using Hybrid Multi-Modal Vision Transformer-CNN Models"

5 / 5 papers shown
Title
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,412
0
11 Nov 2021
Fine-Grained Image Analysis with Deep Learning: A Survey
Fine-Grained Image Analysis with Deep Learning: A Survey
Xiu-Shen Wei
Yi-Zhe Song
Oisin Mac Aodha
Jianxin Wu
Yuxin Peng
Jinhui Tang
Jian Yang
Serge J. Belongie
66
277
0
11 Nov 2021
Segmenting Transparent Object in the Wild with Transformer
Segmenting Transparent Object in the Wild with Transformer
Enze Xie
Wenjia Wang
Wenhai Wang
Pei Sun
Hang Xu
Ding Liang
Ping Luo
ViT
214
28
0
21 Jan 2021
TransTrack: Multiple Object Tracking with Transformer
TransTrack: Multiple Object Tracking with Transformer
Pei Sun
Jinkun Cao
Yi-Xin Jiang
Rufeng Zhang
Enze Xie
Zehuan Yuan
Changhu Wang
Ping Luo
ViT
VOT
241
564
0
31 Dec 2020
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
247
36,237
0
25 Aug 2016
1