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DiRaC-I: Identifying Diverse and Rare Training Classes for Zero-Shot
  Learning

DiRaC-I: Identifying Diverse and Rare Training Classes for Zero-Shot Learning

31 December 2022
Sandipan Sarma
Arijit Sur
    VLM
ArXivPDFHTML

Papers citing "DiRaC-I: Identifying Diverse and Rare Training Classes for Zero-Shot Learning"

4 / 4 papers shown
Title
Multi-task Learning with Attention for End-to-end Autonomous Driving
Multi-task Learning with Attention for End-to-end Autonomous Driving
Keishi Ishihara
Anssi Kanervisto
J. Miura
Ville Hautamaki
34
60
0
21 Apr 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,561
0
17 Apr 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
249
36,362
0
25 Aug 2016
ImageNet Large Scale Visual Recognition Challenge
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
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