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Zero-Shot Learning and its Applications from Autonomous Vehicles to
  COVID-19 Diagnosis: A Review

Zero-Shot Learning and its Applications from Autonomous Vehicles to COVID-19 Diagnosis: A Review

29 April 2020
Mahdi Rezaei
Mahsa Shahidi
ArXivPDFHTML

Papers citing "Zero-Shot Learning and its Applications from Autonomous Vehicles to COVID-19 Diagnosis: A Review"

13 / 13 papers shown
Title
MedFLIP: Medical Vision-and-Language Self-supervised Fast Pre-Training
  with Masked Autoencoder
MedFLIP: Medical Vision-and-Language Self-supervised Fast Pre-Training with Masked Autoencoder
Lei Li
Tianfang Zhang
Xinglin Zhang
Jiaqi Liu
Bingqi Ma
Yan-chun Luo
Tao Chen
MedIm
32
0
0
07 Mar 2024
Generating Features with Increased Crop-related Diversity for Few-Shot
  Object Detection
Generating Features with Increased Crop-related Diversity for Few-Shot Object Detection
Jingyi Xu
Hieu M. Le
Dimitris Samaras
ObjD
15
26
0
11 Apr 2023
Zero-shot Object Counting
Zero-shot Object Counting
Jingyi Xu
Hieu M. Le
Vu Nguyen
Viresh Ranjan
Dimitris Samaras
24
41
0
03 Mar 2023
DiRaC-I: Identifying Diverse and Rare Training Classes for Zero-Shot
  Learning
DiRaC-I: Identifying Diverse and Rare Training Classes for Zero-Shot Learning
Sandipan Sarma
Arijit Sur
VLM
11
1
0
31 Dec 2022
Generating Representative Samples for Few-Shot Classification
Generating Representative Samples for Few-Shot Classification
Jingyi Xu
Hieu M. Le
VLM
9
61
0
05 May 2022
A Systematic Collection of Medical Image Datasets for Deep Learning
A Systematic Collection of Medical Image Datasets for Deep Learning
Johann Li
Guangming Zhu
Cong Hua
Mingtao Feng
Basheer Bennamoun
...
Xu Xu
Lin Mei
Liang Zhang
Syed Afaq Ali Shah
Bennamoun
OOD
33
49
0
24 Jun 2021
DeepHAZMAT: Hazardous Materials Sign Detection and Segmentation with
  Restricted Computational Resources
DeepHAZMAT: Hazardous Materials Sign Detection and Segmentation with Restricted Computational Resources
Amir Sharifi
Ahmadreza Zibaei
Mahdi Rezaei
13
6
0
13 Jul 2020
COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose
  COVID-19 in X-Ray Images
COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images
E. E. Hemdan
M. Shouman
Mohamed E. Karar
82
1,012
0
24 Mar 2020
Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images
  and Deep Convolutional Neural Networks
Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks
A. Narin
Ceren Kaya
Ziynet Pamuk
67
1,762
0
24 Mar 2020
Lung Infection Quantification of COVID-19 in CT Images with Deep
  Learning
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning
F. Shan
Yaozong Gao
Jun Wang
Weiya Shi
N. Shi
Miaofei Han
Zhong Xue
D. Shen
Yuxin Shi
97
574
0
10 Mar 2020
Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decoration
Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decoration
Lu Sheng
Ziyi Lin
Jing Shao
Xiaogang Wang
166
292
0
10 May 2018
Learning Deep Representations of Fine-grained Visual Descriptions
Learning Deep Representations of Fine-grained Visual Descriptions
Scott E. Reed
Zeynep Akata
Bernt Schiele
Honglak Lee
OCL
VLM
163
840
0
17 May 2016
A Multi-View Embedding Space for Modeling Internet Images, Tags, and
  their Semantics
A Multi-View Embedding Space for Modeling Internet Images, Tags, and their Semantics
Yunchao Gong
Qifa Ke
Michael Isard
Svetlana Lazebnik
3DV
60
584
0
18 Dec 2012
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