Hierarchical approach to classify food scenes in egocentric
photo-streams

Hierarchical approach to classify food scenes in egocentric photo-streams

10 May 2019

Estefania Talavera Martinez

María Leyva-Vallina

Md. Mostafa Kamal Sarker

Papers citing "Hierarchical approach to classify food scenes in egocentric photo-streams"

15 / 15 papers shown

Title
MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-streams Md. Mostafa Kamal Sarker Hatem A. Rashwan Estefanía Talavera Syeda Furruka Banu Petia Radeva D. Puig EgoV 91 12 0 29 Aug 2018
Scene recognition with CNNs: objects, scales and dataset bias Luis Herranz Shuqiang Jiang Xiangyang Li 57 214 0 21 Jan 2018
Batch-based Activity Recognition from Egocentric Photo-Streams Revisited Alejandro Cartas Juan Marín Petia Radeva Mariella Dimiccoli EgoV 88 12 0 11 Oct 2017
R-Clustering for Egocentric Video Segmentation Estefanía Talavera Mariella Dimiccoli Marc Bolaños Maedeh Aghaei Petia Radeva 28 42 0 10 Apr 2017
Places: An Image Database for Deep Scene Understanding Bolei Zhou A. Khosla Àgata Lapedriza Antonio Torralba A. Oliva 3DV VLM SSeg 158 459 0 06 Oct 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 217 18,195 0 02 Jun 2016
SR-Clustering: Semantic Regularized Clustering for Egocentric Photo Streams Segmentation Mariella Dimiccoli Marc Bolaños Estefanía Talavera Maedeh Aghaei S. G. Nikolov Petia Radeva EgoV 82 55 0 22 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.9K 193,426 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 700 27,303 0 02 Dec 2015
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop Feng Yu Ari Seff Yinda Zhang Shuran Song Thomas Funkhouser Jianxiong Xiao 67 2,331 0 10 Jun 2015
Object-Scene Convolutional Neural Networks for Event Recognition in Images Limin Wang Zhe Wang Wenbin Du Yu Qiao 61 67 0 02 May 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 399 43,589 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.3K 100,213 0 04 Sep 2014
Caffe: Convolutional Architecture for Fast Feature Embedding Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross B. Girshick S. Guadarrama Trevor Darrell VLM BDL 3DV 249 14,704 0 20 Jun 2014
Seeing the Big Picture: Deep Embedding with Contextual Evidences Liang Zheng Shengjin Wang Fei He Q. Tian 143 20 0 01 Jun 2014