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Factors of Transferability for a Generic ConvNet Representation

Factors of Transferability for a Generic ConvNet Representation

22 June 2014
Hossein Azizpour
A. Razavian
Josephine Sullivan
A. Maki
S. Carlsson
ArXivPDFHTML

Papers citing "Factors of Transferability for a Generic ConvNet Representation"

50 / 114 papers shown
Title
RELOCATE: A Simple Training-Free Baseline for Visual Query Localization
  Using Region-Based Representations
RELOCATE: A Simple Training-Free Baseline for Visual Query Localization Using Region-Based Representations
Savya Khosla
S. Vallecorsa
Alex Schwing
Derek Hoiem
69
0
0
02 Dec 2024
Student Activity Recognition in Classroom Environments using Transfer
  Learning
Student Activity Recognition in Classroom Environments using Transfer Learning
Anagha Deshpande
Vedant Deshpande
14
1
0
01 Dec 2023
Shapley variable importance cloud for machine learning models
Shapley variable importance cloud for machine learning models
Yilin Ning
Mingxuan Liu
Nan Liu
FAtt
TDI
37
1
0
16 Dec 2022
Supervised Fine-tuning Evaluation for Long-term Visual Place Recognition
Supervised Fine-tuning Evaluation for Long-term Visual Place Recognition
Farid Alijani
Esa Rahtu
14
0
0
14 Nov 2022
Learning Deep Representations via Contrastive Learning for Instance
  Retrieval
Learning Deep Representations via Contrastive Learning for Instance Retrieval
Tao Wu
Tie-Mei Luo
D. Wunsch
SSL
VLM
23
1
0
28 Sep 2022
Semantic Pose Verification for Outdoor Visual Localization with
  Self-supervised Contrastive Learning
Semantic Pose Verification for Outdoor Visual Localization with Self-supervised Contrastive Learning
Semih Orhan
Jose J. Guerrero
Y. Bastanlar
SSL
18
5
0
31 Mar 2022
Model soups: averaging weights of multiple fine-tuned models improves
  accuracy without increasing inference time
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Mitchell Wortsman
Gabriel Ilharco
S. Gadre
Rebecca Roelofs
Raphael Gontijo-Lopes
...
Hongseok Namkoong
Ali Farhadi
Y. Carmon
Simon Kornblith
Ludwig Schmidt
MoMe
59
924
1
10 Mar 2022
MultiRes-NetVLAD: Augmenting Place Recognition Training with
  Low-Resolution Imagery
MultiRes-NetVLAD: Augmenting Place Recognition Training with Low-Resolution Imagery
Ahmad Khaliq
Michael Milford
Sourav Garg
ObjD
33
30
0
18 Feb 2022
Construct Informative Triplet with Two-stage Hard-sample Generation
Construct Informative Triplet with Two-stage Hard-sample Generation
Chuang Zhu
Zheng Hu
Huihui Dong
Gang He
Zekuan Yu
Shangshang Zhang
36
3
0
04 Dec 2021
Adaptive Transfer Learning: a simple but effective transfer learning
Adaptive Transfer Learning: a simple but effective transfer learning
J. H. Lee
Henry Kvinge
Scott Howland
Zach New
John Buckheit
Lauren A. Phillips
Elliott Skomski
J. Hibler
Court D. Corley
Nathan Oken Hodas
30
0
0
22 Nov 2021
Cats, not CAT scans: a study of dataset similarity in transfer learning
  for 2D medical image classification
Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classification
Irma van den Brandt
F. Fok
B. Mulders
Joaquin Vanschoren
Dovile Juodelyte
31
4
0
13 Jul 2021
Understanding the Distributions of Aggregation Layers in Deep Neural
  Networks
Understanding the Distributions of Aggregation Layers in Deep Neural Networks
Eng-Jon Ong
S. Husain
M. Bober
FAtt
FedML
AI4CE
11
2
0
09 Jul 2021
Evaluating Contrastive Models for Instance-based Image Retrieval
Evaluating Contrastive Models for Instance-based Image Retrieval
Tarun Krishna
Kevin McGuinness
Noel E. O'Connor
25
5
0
30 Apr 2021
Unifying Remote Sensing Image Retrieval and Classification with Robust Fine-tuning
Dimitri Gominski
V. Gouet-Brunet
Liming Chen
23
2
0
26 Feb 2021
Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning
Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning
H. Alshazly
C. Linse
Erhardt Barth
T. Martinetz
26
159
0
09 Nov 2020
Using Unlabeled Data for Increasing Low-Shot Classification Accuracy of
  Relevant and Open-Set Irrelevant Images
Using Unlabeled Data for Increasing Low-Shot Classification Accuracy of Relevant and Open-Set Irrelevant Images
Spiridon Kasapis
Gengning Zhang
J. Smereka
N. Vlahopoulos
BDL
33
1
0
01 Oct 2020
Deep Learning of Individual Aesthetics
Deep Learning of Individual Aesthetics
Jon McCormack
Andy Lomas
19
28
0
24 Sep 2020
Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised
  Approach for Feature Embedding
Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding
Binh X. Nguyen
Binh Duc Nguyen
G. Carneiro
Erman Tjiputra
Quang-Dieu Tran
Thanh-Toan Do
29
10
0
09 Sep 2020
Fully-Automated Packaging Structure Recognition in Logistics
  Environments
Fully-Automated Packaging Structure Recognition in Logistics Environments
Laura Dörr
Felix Brandt
Martin Pouls
Alexander Naumann
12
14
0
11 Aug 2020
Laser2Vec: Similarity-based Retrieval for Robotic Perception Data
Laser2Vec: Similarity-based Retrieval for Robotic Perception Data
Samer B. Nashed
17
2
0
30 Jul 2020
Adding Seemingly Uninformative Labels Helps in Low Data Regimes
Adding Seemingly Uninformative Labels Helps in Low Data Regimes
Christos Matsoukas
Albert Bou I Hernandez
Yue Liu
Karin Dembrower
G. Miranda
...
Johan Fredin Haslum
Athanasios Zouzos
Peter Lindholm
Fredrik Strand
Kevin Smith
21
12
0
20 Jul 2020
What makes instance discrimination good for transfer learning?
What makes instance discrimination good for transfer learning?
Nanxuan Zhao
Zhirong Wu
Rynson W. H. Lau
Stephen Lin
SSL
22
167
0
11 Jun 2020
Multi-Stage Transfer Learning with an Application to Selection Process
Multi-Stage Transfer Learning with an Application to Selection Process
André Mendes
Julian Togelius
L. Coelho
12
10
0
01 Jun 2020
When CNNs Meet Random RNNs: Towards Multi-Level Analysis for RGB-D
  Object and Scene Recognition
When CNNs Meet Random RNNs: Towards Multi-Level Analysis for RGB-D Object and Scene Recognition
Ali Caglayan
Nevrez Imamoglu
Ahmet Burak Can
Ryosuke Nakamura
39
28
0
26 Apr 2020
Image Retrieval using Multi-scale CNN Features Pooling
Image Retrieval using Multi-scale CNN Features Pooling
Federico Vaccaro
Marco Bertini
Tiberio Uricchio
A. Bimbo
20
18
0
21 Apr 2020
Understanding Aesthetic Evaluation using Deep Learning
Understanding Aesthetic Evaluation using Deep Learning
Jon McCormack
Andy Lomas
EGVM
7
20
0
15 Apr 2020
Learning Test-time Augmentation for Content-based Image Retrieval
Learning Test-time Augmentation for Content-based Image Retrieval
Osman Tursun
Simon Denman
Sridha Sridharan
Clinton Fookes
24
6
0
05 Feb 2020
Learning Multi-level Weight-centric Features for Few-shot Learning
Learning Multi-level Weight-centric Features for Few-shot Learning
Min-Siong Liang
Shaoli Huang
Shirui Pan
Biwei Huang
Wei Liu
30
10
0
28 Nov 2019
Deep Aggregation of Regional Convolutional Activations for Content Based
  Image Retrieval
Deep Aggregation of Regional Convolutional Activations for Content Based Image Retrieval
Konstantin Schall
Kai Uwe Barthel
Nico Hezel
Klaus Jung
21
5
0
20 Sep 2019
Growing a Brain: Fine-Tuning by Increasing Model Capacity
Growing a Brain: Fine-Tuning by Increasing Model Capacity
Yu-xiong Wang
Deva Ramanan
M. Hebert
CLL
29
148
0
18 Jul 2019
Automatic Hierarchical Classification of Kelps using Deep Residual
  Features
Automatic Hierarchical Classification of Kelps using Deep Residual Features
A. Mahmood
A. Ospina
Bennamoun
Senjian An
Ferdous Sohel
F. Boussaïd
R. Hovey
Robert B. Fisher
G. Kendrick
13
1
0
26 Jun 2019
What, Where and How to Transfer in SAR Target Recognition Based on Deep
  CNNs
What, Where and How to Transfer in SAR Target Recognition Based on Deep CNNs
Zhongling Huang
Zongxu Pan
Bin Lei
19
151
0
04 Jun 2019
Overlearning Reveals Sensitive Attributes
Overlearning Reveals Sensitive Attributes
Congzheng Song
Vitaly Shmatikov
19
148
0
28 May 2019
Simultaneous Feature Aggregating and Hashing for Compact Binary Code
  Learning
Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning
Thanh-Toan Do
Khoa Le
Tuan Hoang
Huu Le
Tam V. Nguyen
Ngai-man Cheung
16
18
0
24 Apr 2019
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the
  Efficiency of Deep Distance Metric Learning
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning
Thanh-Toan Do
Toan M. Tran
Ian Reid
B. V. Kumar
Tuan Hoang
G. Carneiro
28
66
0
18 Apr 2019
Enhanced Transfer Learning with ImageNet Trained Classification Layer
Enhanced Transfer Learning with ImageNet Trained Classification Layer
Tasfia Shermin
S. Teng
Manzur Murshed
Guojun Lu
Ferdous Sohel
Manoranjan Paul
24
1
0
25 Mar 2019
Aggregated Deep Local Features for Remote Sensing Image Retrieval
Aggregated Deep Local Features for Remote Sensing Image Retrieval
Raffaele Imbriaco
Clint Sebastian
Egor Bondarev
Peter H. N. de With
25
68
0
22 Mar 2019
Camera Obscurer: Generative Art for Design Inspiration
Camera Obscurer: Generative Art for Design Inspiration
Dilpreet Singh
Nina Rajcic
S. Colton
Jon McCormack
DiffM
21
11
0
06 Mar 2019
MILDNet: A Lightweight Single Scaled Deep Ranking Architecture
MILDNet: A Lightweight Single Scaled Deep Ranking Architecture
Anirudha Vishvakarma
27
3
0
03 Mar 2019
Human-Centered Tools for Coping with Imperfect Algorithms during Medical
  Decision-Making
Human-Centered Tools for Coping with Imperfect Algorithms during Medical Decision-Making
Carrie J. Cai
Emily Reif
Narayan Hegde
J. Hipp
Been Kim
...
Martin Wattenberg
F. Viégas
G. Corrado
Martin C. Stumpe
Michael Terry
43
398
0
08 Feb 2019
Traversing the Continuous Spectrum of Image Retrieval with Deep Dynamic
  Models
Traversing the Continuous Spectrum of Image Retrieval with Deep Dynamic Models
Ziad Al-Halah
Andreas M. Lehrmann
Leonid Sigal
24
0
0
01 Dec 2018
Matchable Image Retrieval by Learning from Surface Reconstruction
Matchable Image Retrieval by Learning from Surface Reconstruction
Tianwei Shen
Zixin Luo
Lei Zhou
Runze Zhang
Siyu Zhu
Tian Fang
Long Quan
3DV
21
49
0
26 Nov 2018
Cats or CAT scans: transfer learning from natural or medical image
  source datasets?
Cats or CAT scans: transfer learning from natural or medical image source datasets?
Dovile Juodelyte
OOD
MedIm
39
58
0
12 Oct 2018
Fine-Grained Visual Categorization using Meta-Learning Optimization with
  Sample Selection of Auxiliary Data
Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data
Yabin Zhang
Hui Tang
Kui Jia
63
95
0
28 Jul 2018
Deep Discriminative Model for Video Classification
Deep Discriminative Model for Video Classification
M. Tavakolian
Abdenour Hadid
8
4
0
22 Jul 2018
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural
  Networks
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks
Tobias Hinz
Nicolás Navarro-Guerrero
S. Magg
S. Wermter
27
104
0
19 Jul 2018
Adversarial Learning for Fine-grained Image Search
Adversarial Learning for Fine-grained Image Search
Kevin Qinghong Lin
Fan Yang
Qiaosong Wang
Robinson Piramuthu
GAN
30
10
0
06 Jul 2018
Transfer Learning with Human Corneal Tissues: An Analysis of Optimal
  Cut-Off Layer
Transfer Learning with Human Corneal Tissues: An Analysis of Optimal Cut-Off Layer
Nadezhda Prodanova
Johannes Stegmaier
S. Allgeier
S. Bohn
O. Stachs
B. Köhler
Ralf Mikut
A. Bartschat
OOD
MedIm
25
4
0
19 Jun 2018
Deep Feature Aggregation and Image Re-ranking with Heat Diffusion for
  Image Retrieval
Deep Feature Aggregation and Image Re-ranking with Heat Diffusion for Image Retrieval
Shanmin Pang
Jin Ma
Jianru Xue
Jihua Zhu
Vicente Ordonez
OOD
11
36
0
22 May 2018
Deep Learning with Cinematic Rendering: Fine-Tuning Deep Neural Networks
  Using Photorealistic Medical Images
Deep Learning with Cinematic Rendering: Fine-Tuning Deep Neural Networks Using Photorealistic Medical Images
Faisal Mahmood
Richard J. Chen
S. Sudarsky
Daphne Yu
Nicholas J. Durr
MedIm
27
43
0
22 May 2018
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