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OverFeat: Integrated Recognition, Localization and Detection using
  Convolutional Networks

OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks

21 December 2013
P. Sermanet
David Eigen
Xiang Zhang
Michaël Mathieu
Rob Fergus
Yann LeCun
    ObjD
ArXivPDFHTML

Papers citing "OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks"

14 / 14 papers shown
Title
YOLO-RD: Introducing Relevant and Compact Explicit Knowledge to YOLO by Retriever-Dictionary
YOLO-RD: Introducing Relevant and Compact Explicit Knowledge to YOLO by Retriever-Dictionary
Hao-Tang Tsui
Chien-Yao Wang
H. Liao
ObjD
VLM
72
0
0
20 Oct 2024
Benchmarking the Robustness of Instance Segmentation Models
Benchmarking the Robustness of Instance Segmentation Models
Said Fahri Altindis
Yusuf Dalva
Hamza Pehlivan
Aysegül Dündar
VLM
OOD
84
12
0
02 Sep 2021
AP-Loss for Accurate One-Stage Object Detection
AP-Loss for Accurate One-Stage Object Detection
Kean Chen
Weiyao Lin
Jianguo Li
John See
Ji Wang
Junni Zou
ObjD
41
66
0
17 Aug 2020
OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features
OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features
A. Osokin
Denis Sumin
V. Lomakin
ObjD
99
57
0
15 Mar 2020
Multifaceted Analysis of Fine-Tuning in Deep Model for Visual
  Recognition
Multifaceted Analysis of Fine-Tuning in Deep Model for Visual Recognition
Xiangyang Li
Luis Herranz
Shuqiang Jiang
138
2
0
11 Jul 2019
All You Need is Beyond a Good Init: Exploring Better Solution for
  Training Extremely Deep Convolutional Neural Networks with Orthonormality and
  Modulation
All You Need is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks with Orthonormality and Modulation
Di Xie
Jiang Xiong
Shiliang Pu
70
181
0
06 Mar 2017
Synthesizing Training Data for Object Detection in Indoor Scenes
Synthesizing Training Data for Object Detection in Indoor Scenes
G. Georgakis
Arsalan Mousavian
Alexander C. Berg
Jana Kosecka
3DPC
ObjD
33
205
0
25 Feb 2017
Designing Deep Convolutional Neural Networks for Continuous Object
  Orientation Estimation
Designing Deep Convolutional Neural Networks for Continuous Object Orientation Estimation
Kota Hara
Raviteja Vemulapalli
Rama Chellappa
49
84
0
06 Feb 2017
Wide-Slice Residual Networks for Food Recognition
Wide-Slice Residual Networks for Food Recognition
N. Martinel
G. Foresti
C. Micheloni
59
201
0
20 Dec 2016
Image Aesthetic Assessment: An Experimental Survey
Image Aesthetic Assessment: An Experimental Survey
Yubin Deng
Chen Change Loy
Xiaoou Tang
47
263
0
04 Oct 2016
Understanding data augmentation for classification: when to warp?
Understanding data augmentation for classification: when to warp?
S. Wong
Adam Gatt
V. Stamatescu
Mark D Mcdonnell
51
901
0
28 Sep 2016
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning
  Challenge
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge
Oriol Vinyals
Alexander Toshev
Samy Bengio
D. Erhan
56
852
0
21 Sep 2016
Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks
Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks
Alessandro Giusti
D. Ciresan
Jonathan Masci
L. Gambardella
Jürgen Schmidhuber
158
348
0
07 Feb 2013
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
356
7,650
0
03 Jul 2012
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