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LEWIS: Latent Embeddings for Word Images and their Semantics

LEWIS: Latent Embeddings for Word Images and their Semantics

21 September 2015
Albert Gordo
Jon Almazán
Naila Murray
Florent Perronnin
ArXivPDFHTML

Papers citing "LEWIS: Latent Embeddings for Word Images and their Semantics"

2 / 2 papers shown
Title
SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text
  Recognition
SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition
Zhi Qiao
Yu Zhou
Dongbao Yang
Yucan Zhou
Weiping Wang
11
225
0
22 May 2020
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
76
584
0
18 Dec 2012
1