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Dividing and Conquering Cross-Modal Recipe Retrieval: from Nearest
  Neighbours Baselines to SoTA
v1v2 (latest)

Dividing and Conquering Cross-Modal Recipe Retrieval: from Nearest Neighbours Baselines to SoTA

28 November 2019
Mikhail Fain
Niall Twomey
Andrey Ponikar
Ryan Fox
Danushka Bollegala
ArXiv (abs)PDFHTML

Papers citing "Dividing and Conquering Cross-Modal Recipe Retrieval: from Nearest Neighbours Baselines to SoTA"

29 / 29 papers shown
Title
Multimodal Deep Learning
Multimodal Deep Learning
Cem Akkus
Jiquan Ngiam
Vladana Djakovic
Steffen Jauch-Walser
A. Khosla
...
Jann Goschenhofer
Honglak Lee
A. Ng
Daniel Schalk
Matthias Aßenmacher
123
3,176
0
12 Jan 2023
Preserving Semantic Neighborhoods for Robust Cross-modal Retrieval
Preserving Semantic Neighborhoods for Robust Cross-modal Retrieval
Christopher Thomas
Adriana Kovashka
115
41
0
16 Jul 2020
MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images
  with Latent Variable Model
MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model
Han Fu
R. Wu
Chenghao Liu
Jianling Sun
54
50
0
02 Apr 2020
Predicting the Politics of an Image Using Webly Supervised Data
Predicting the Politics of an Image Using Webly Supervised Data
Christopher Thomas
Adriana Kovashka
SSL
58
21
0
31 Oct 2019
CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval
CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval
Zihao Wang
Xihui Liu
Hongsheng Li
Lu Sheng
Junjie Yan
Xiaogang Wang
Jing Shao
VLM
83
306
0
12 Sep 2019
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural
  Recommendation Approaches
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches
Maurizio Ferrari Dacrema
Paolo Cremonesi
Dietmar Jannach
50
588
0
16 Jul 2019
Learning Cross-Modal Embeddings with Adversarial Networks for Cooking
  Recipes and Food Images
Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images
Hao Wang
Doyen Sahoo
Chenghao Liu
Ee-Peng Lim
Guosheng Lin
52
132
0
03 May 2019
Good News, Everyone! Context driven entity-aware captioning for news
  images
Good News, Everyone! Context driven entity-aware captioning for news images
Ali Furkan Biten
Lluís Gómez
Marçal Rusiñol
Dimosthenis Karatzas
84
141
0
02 Apr 2019
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
Javier Marín
Aritro Biswas
Ferda Ofli
Nick Hynes
Amaia Salvador
Y. Aytar
Ingmar Weber
Antonio Torralba
62
324
0
14 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,229
0
11 Oct 2018
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
53
180
0
30 Apr 2018
Stacked Cross Attention for Image-Text Matching
Stacked Cross Attention for Image-Text Matching
Kuang-Huei Lee
Xi Chen
G. Hua
Houdong Hu
Xiaodong He
109
1,158
0
21 Mar 2018
CM-GANs: Cross-modal Generative Adversarial Networks for Common
  Representation Learning
CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning
Yuxin Peng
Jinwei Qi
Yuxin Yuan
GAN
83
246
0
14 Oct 2017
ChineseFoodNet: A large-scale Image Dataset for Chinese Food Recognition
ChineseFoodNet: A large-scale Image Dataset for Chinese Food Recognition
Xin Chen
Yu Zhu
Huan Zhou
Liang Diao
Dongyan Wang
50
106
0
08 May 2017
Wide-Slice Residual Networks for Food Recognition
Wide-Slice Residual Networks for Food Recognition
N. Martinel
G. Foresti
C. Micheloni
113
201
0
20 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
524
10,351
0
16 Nov 2016
Enriching Word Vectors with Subword Information
Enriching Word Vectors with Subword Information
Piotr Bojanowski
Edouard Grave
Armand Joulin
Tomas Mikolov
NAISSLVLM
234
9,986
0
15 Jul 2016
Learning Distributed Representations of Sentences from Unlabelled Data
Learning Distributed Representations of Sentences from Unlabelled Data
Felix Hill
Kyunghyun Cho
Anna Korhonen
SSL
180
574
0
10 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,510
0
10 Dec 2015
Towards Universal Paraphrastic Sentence Embeddings
Towards Universal Paraphrastic Sentence Embeddings
John Wieting
Joey Tianyi Zhou
Kevin Gimpel
Karen Livescu
AI4TS
175
555
0
25 Nov 2015
Skip-Thought Vectors
Skip-Thought Vectors
Ryan Kiros
Yukun Zhu
Ruslan Salakhutdinov
R. Zemel
Antonio Torralba
R. Urtasun
Sanja Fidler
SSL
224
2,412
0
22 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
535
62,409
0
04 Jun 2015
Unsupervised Visual Representation Learning by Context Prediction
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch
Abhinav Gupta
Alexei A. Efros
DRLSSL
169
2,792
0
19 May 2015
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for
  Richer Image-to-Sentence Models
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
Bryan A. Plummer
Liwei Wang
Christopher M. Cervantes
Juan C. Caicedo
Julia Hockenmaier
Svetlana Lazebnik
208
2,074
0
19 May 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
391
13,172
0
12 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
Distributed Representations of Sentences and Documents
Distributed Representations of Sentences and Documents
Quoc V. Le
Tomas Mikolov
FaML
265
9,250
0
16 May 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
437
43,875
0
01 May 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAIOCL
404
33,573
0
16 Oct 2013
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