ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1403.6382
  4. Cited By
CNN Features off-the-shelf: an Astounding Baseline for Recognition

CNN Features off-the-shelf: an Astounding Baseline for Recognition

23 March 2014
A. Razavian
Hossein Azizpour
Josephine Sullivan
S. Carlsson
ArXivPDFHTML

Papers citing "CNN Features off-the-shelf: an Astounding Baseline for Recognition"

28 / 28 papers shown
Title
Solving Copyright Infringement on Short Video Platforms: Novel Datasets and an Audio Restoration Deep Learning Pipeline
Solving Copyright Infringement on Short Video Platforms: Novel Datasets and an Audio Restoration Deep Learning Pipeline
Minwoo Oh
Minsu Park
Eunil Park
161
0
0
30 Apr 2025
Impact of Language Guidance: A Reproducibility Study
Impact of Language Guidance: A Reproducibility Study
Cherish Puniani
Advika Sinha
Shree Singhi
Aayan Yadav
VLM
162
0
0
10 Apr 2025
Dynamic Gradient Sparse Update for Edge Training
Dynamic Gradient Sparse Update for Edge Training
I-Hsuan Li
Tian-Sheuan Chang
100
1
0
23 Mar 2025
APLA: A Simple Adaptation Method for Vision Transformers
APLA: A Simple Adaptation Method for Vision Transformers
Moein Sorkhei
Emir Konuk
Kevin Smith
Christos Matsoukas
96
0
0
14 Mar 2025
Learning the Regularization Strength for Deep Fine-Tuning via a Data-Emphasized Variational Objective
Learning the Regularization Strength for Deep Fine-Tuning via a Data-Emphasized Variational Objective
Ethan Harvey
Mikhail Petrov
Michael C. Hughes
88
0
0
28 Jan 2025
Fine-tuning with Very Large Dropout
Fine-tuning with Very Large Dropout
Jianyu Zhang
Léon Bottou
82
1
0
01 Mar 2024
The VISIONE Video Search System: Exploiting Off-the-Shelf Text Search
  Engines for Large-Scale Video Retrieval
The VISIONE Video Search System: Exploiting Off-the-Shelf Text Search Engines for Large-Scale Video Retrieval
Giuseppe Amato
Paolo Bolettieri
F. Carrara
Franca Debole
Fabrizio Falchi
Claudio Gennaro
Lucia Vadicamo
Claudio Vairo
55
17
0
06 Aug 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
186
2
0
11 Jul 2019
Billion-scale similarity search with GPUs
Billion-scale similarity search with GPUs
Jeff Johnson
Matthijs Douze
Hervé Jégou
255
3,720
0
28 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
103
84
0
06 Feb 2017
An Experimental Study of Deep Convolutional Features For Iris
  Recognition
An Experimental Study of Deep Convolutional Features For Iris Recognition
Shervin Minaee
AmirAli Abdolrashidi
Yao Wang
CVBM
136
146
0
04 Feb 2017
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Andreas Veit
N. Alldrin
Gal Chechik
Ivan Krasin
Abhinav Gupta
Serge J. Belongie
122
479
0
06 Jan 2017
A Survey of Deep Network Solutions for Learning Control in Robotics:
  From Reinforcement to Imitation
A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation
L. Tai
Jingwei Zhang
Ming-Yuan Liu
Joschka Boedecker
Wolfram Burgard
OffRL
89
78
0
21 Dec 2016
Deep Motion Features for Visual Tracking
Deep Motion Features for Visual Tracking
Susanna Gladh
Martin Danelljan
Fahad Shahbaz Khan
Michael Felsberg
75
89
0
20 Dec 2016
Object Recognition with and without Objects
Object Recognition with and without Objects
Zhuotun Zhu
Lingxi Xie
Alan Yuille
OCL
ObjD
109
81
0
20 Nov 2016
Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal
  Event Detection
Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal Event Detection
Mahdyar Ravanbakhsh
Moin Nabi
Hossein Mousavi
E. Sangineto
N. Sebe
157
199
0
02 Oct 2016
Look, Listen and Learn - A Multimodal LSTM for Speaker Identification
Look, Listen and Learn - A Multimodal LSTM for Speaker Identification
Jimmy S. J. Ren
Yongtao Hu
Yu-Wing Tai
Chuan Wang
Li Xu
Wenxiu Sun
Qiong Yan
67
108
0
13 Feb 2016
Face Attribute Prediction Using Off-the-Shelf CNN Features
Face Attribute Prediction Using Off-the-Shelf CNN Features
Yang Zhong
Josephine Sullivan
Haibo Li
CVBM
67
102
0
12 Feb 2016
Leveraging Mid-Level Deep Representations For Predicting Face Attributes
  in the Wild
Leveraging Mid-Level Deep Representations For Predicting Face Attributes in the Wild
Yang Zhong
Josephine Sullivan
Haibo Li
3DH
CVBM
59
43
0
04 Feb 2016
Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain
  Adaptation
Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation
Guosen Xie
Xu-Yao Zhang
Shuicheng Yan
Cheng-Lin Liu
ObjD
69
150
0
29 Jan 2016
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
1.6K
39,509
0
01 Sep 2014
Multi-scale Orderless Pooling of Deep Convolutional Activation Features
Multi-scale Orderless Pooling of Deep Convolutional Activation Features
Yunchao Gong
Liwei Wang
Ruiqi Guo
Svetlana Lazebnik
176
1,090
0
07 Mar 2014
OverFeat: Integrated Recognition, Localization and Detection using
  Convolutional Networks
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
P. Sermanet
David Eigen
Xiang Zhang
Michaël Mathieu
Rob Fergus
Yann LeCun
ObjD
151
5,004
0
21 Dec 2013
DeepPose: Human Pose Estimation via Deep Neural Networks
DeepPose: Human Pose Estimation via Deep Neural Networks
Alexander Toshev
Christian Szegedy
3DH
179
2,773
0
17 Dec 2013
PANDA: Pose Aligned Networks for Deep Attribute Modeling
PANDA: Pose Aligned Networks for Deep Attribute Modeling
Ning Zhang
Manohar Paluri
MarcÁurelio Ranzato
Trevor Darrell
Lubomir D. Bourdev
CVBM
144
530
0
21 Nov 2013
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
587
15,874
0
12 Nov 2013
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
287
26,181
0
11 Nov 2013
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
178
4,949
0
06 Oct 2013
1