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Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking
  Recipes and Food Images

Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images

14 October 2018
Javier Marín
Aritro Biswas
Ferda Ofli
Nick Hynes
Amaia Salvador
Y. Aytar
Ingmar Weber
Antonio Torralba
ArXivPDFHTML

Papers citing "Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images"

22 / 22 papers shown
Title
Predicting Implicit Arguments in Procedural Video Instructions
Predicting Implicit Arguments in Procedural Video Instructions
Anil Batra
Laura Sevilla-Lara
Marcus Rohrbach
Frank Keller
42
0
0
27 May 2025
Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry and
  Fusion
Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry and Fusion
Yang Wang
86
200
0
15 Jun 2020
RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and
  Evaluation System
RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System
Helena H. Lee
Shu Ke
Palakorn Achananuparp
P. K. Prasetyo
Yue Liu
Ee-Peng Lim
Lav Varshney
104
64
0
05 Mar 2020
Cross-Modal Retrieval in the Cooking Context: Learning Semantic
  Text-Image Embeddings
Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings
Micael Carvalho
Rémi Cadène
David Picard
Laure Soulier
Nicolas Thome
Matthieu Cord
43
180
0
30 Apr 2018
Finding beans in burgers: Deep semantic-visual embedding with
  localization
Finding beans in burgers: Deep semantic-visual embedding with localization
Martin Engilberge
Louis Chevallier
P. Pérez
Matthieu Cord
58
95
0
05 Apr 2018
Food recognition and recipe analysis: integrating visual content,
  context and external knowledge
Food recognition and recipe analysis: integrating visual content, context and external knowledge
Luis Herranz
Weiqing Min
Shuqiang Jiang
42
30
0
22 Jan 2018
Is Saki #delicious? The Food Perception Gap on Instagram and Its
  Relation to Health
Is Saki #delicious? The Food Perception Gap on Instagram and Its Relation to Health
Ferda Ofli
Y. Aytar
Ingmar Weber
Raggi al Hammouri
Antonio Torralba
59
65
0
21 Feb 2017
Cross-Modal Scene Networks
Cross-Modal Scene Networks
Y. Aytar
Lluis Castrejon
Carl Vondrick
Hamed Pirsiavash
Antonio Torralba
SSL
65
114
0
27 Oct 2016
Learning Aligned Cross-Modal Representations from Weakly Aligned Data
Learning Aligned Cross-Modal Representations from Weakly Aligned Data
Lluis Castrejon
Y. Aytar
Carl Vondrick
Hamed Pirsiavash
Antonio Torralba
SSL
DRL
AI4TS
67
167
0
25 Jul 2016
DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided
  Dietary Assessment
DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided Dietary Assessment
Chang Liu
Yu Cao
Yan Luo
Guanling Chen
V. Vokkarane
Yunsheng Ma
38
253
0
17 Jun 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.0K
193,426
0
10 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
243
13,989
0
19 Nov 2015
Skip-Thought Vectors
Skip-Thought Vectors
Ryan Kiros
Yukun Zhu
Ruslan Salakhutdinov
R. Zemel
Antonio Torralba
R. Urtasun
Sanja Fidler
SSL
198
2,408
0
22 Jun 2015
Object Detectors Emerge in Deep Scene CNNs
Object Detectors Emerge in Deep Scene CNNs
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
ObjD
135
1,283
0
22 Dec 2014
Deep Visual-Semantic Alignments for Generating Image Descriptions
Deep Visual-Semantic Alignments for Generating Image Descriptions
A. Karpathy
Li Fei-Fei
99
5,578
0
07 Dec 2014
Show and Tell: A Neural Image Caption Generator
Show and Tell: A Neural Image Caption Generator
Oriol Vinyals
Alexander Toshev
Samy Bengio
D. Erhan
3DV
221
6,018
0
17 Nov 2014
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
380
20,528
0
10 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.4K
100,213
0
04 Sep 2014
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
1.5K
39,472
0
01 Sep 2014
Distributed Representations of Sentences and Documents
Distributed Representations of Sentences and Documents
Quoc V. Le
Tomas Mikolov
FaML
239
9,235
0
16 May 2014
DeCAF: A Deep Convolutional Activation Feature for Generic Visual
  Recognition
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue
Yangqing Jia
Oriol Vinyals
Judy Hoffman
Ning Zhang
Eric Tzeng
Trevor Darrell
VLM
ObjD
176
4,948
0
06 Oct 2013
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
631
31,469
0
16 Jan 2013
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