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"

50 / 466 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
65
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
47
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
66
1
0
23 Mar 2025
AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies
AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies
Surojit Saha
Ross T. Whitaker
59
0
0
28 Jan 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
45
0
0
28 Jan 2025
CLOSER: Towards Better Representation Learning for Few-Shot
  Class-Incremental Learning
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning
Junghun Oh
Sungyong Baik
Kyoung Mu Lee
CLL
39
3
0
08 Oct 2024
Natias: Neuron Attribution based Transferable Image Adversarial
  Steganography
Natias: Neuron Attribution based Transferable Image Adversarial Steganography
Zexin Fan
Kejiang Chen
Kai Zeng
Jiansong Zhang
Weiming Zhang
Nenghai Yu
AAML
25
2
0
08 Sep 2024
UnLearning from Experience to Avoid Spurious Correlations
UnLearning from Experience to Avoid Spurious Correlations
Jeff Mitchell
Jesús Martínez del Rincón
Niall McLaughlin
36
0
0
04 Sep 2024
Multimodal Metadata Assignment for Cultural Heritage Artifacts
Multimodal Metadata Assignment for Cultural Heritage Artifacts
Luis Rei
Dunja Mladenić
M. Dorozynski
Franz Rottensteiner
Thomas Schleider
Raphael Troncy
J. Lozano
Mar Gaitán Salvatella
31
6
0
01 Jun 2024
A better approach to diagnose retinal diseases: Combining our
  Segmentation-based Vascular Enhancement with deep learning features
A better approach to diagnose retinal diseases: Combining our Segmentation-based Vascular Enhancement with deep learning features
Yuzhuo Chen
Zetong Chen
Yuanyuan Liu
31
0
0
25 May 2024
How Quality Affects Deep Neural Networks in Fine-Grained Image
  Classification
How Quality Affects Deep Neural Networks in Fine-Grained Image Classification
Joseph Smith
Zheming Zuo
Jonathan Stonehouse
Boguslaw Obara
34
2
0
09 May 2024
KITE: A Kernel-based Improved Transferability Estimation Method
KITE: A Kernel-based Improved Transferability Estimation Method
Yunhui Guo
45
0
0
01 May 2024
Is Synthetic Image Useful for Transfer Learning? An Investigation into
  Data Generation, Volume, and Utilization
Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization
Yuhang Li
Xin Dong
Chen Chen
Jingtao Li
Yuxin Wen
Michael Spranger
Lingjuan Lyu
DiffM
30
4
0
28 Mar 2024
Fine-tuning with Very Large Dropout
Fine-tuning with Very Large Dropout
Jianyu Zhang
Léon Bottou
46
1
0
01 Mar 2024
Coloring Deep CNN Layers with Activation Hue Loss
Coloring Deep CNN Layers with Activation Hue Loss
Louis-Franccois Bouchard
Mohsen Ben Lazreg
Matthew Toews
LLMSV
33
0
0
05 Oct 2023
Transferability of Representations Learned using Supervised Contrastive
  Learning Trained on a Multi-Domain Dataset
Transferability of Representations Learned using Supervised Contrastive Learning Trained on a Multi-Domain Dataset
Alvin De Jun Tan
Clement Tan
C. Yeo
40
0
0
27 Sep 2023
Confidence-Based Model Selection: When to Take Shortcuts for
  Subpopulation Shifts
Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts
Annie S. Chen
Yoonho Lee
Amrith Rajagopal Setlur
Sergey Levine
Chelsea Finn
OOD
22
5
0
19 Jun 2023
Improving Knowledge Distillation via Regularizing Feature Norm and
  Direction
Improving Knowledge Distillation via Regularizing Feature Norm and Direction
Yuzhu Wang
Lechao Cheng
Manni Duan
Yongheng Wang
Zunlei Feng
Shu Kong
39
20
0
26 May 2023
Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning
Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning
Y. Fu
Ye Yuan
Shang Wu
Jiayi Yuan
Yingyan Lin
OOD
58
3
0
24 Apr 2023
How good are variational autoencoders at transfer learning?
How good are variational autoencoders at transfer learning?
Lisa Bonheme
M. Grzes
OOD
DRL
23
2
0
21 Apr 2023
Automated Reading Passage Generation with OpenAI's Large Language Model
Automated Reading Passage Generation with OpenAI's Large Language Model
Ummugul Bezirhan
M. Davier
AI4Ed
21
23
0
10 Apr 2023
Multi-class Skin Cancer Classification Architecture Based on Deep
  Convolutional Neural Network
Multi-class Skin Cancer Classification Architecture Based on Deep Convolutional Neural Network
Mst. Shapna Akter
Hossain Shahriar
S. Sneha
A. Cuzzocrea
27
24
0
13 Mar 2023
Learning Visual Representations via Language-Guided Sampling
Learning Visual Representations via Language-Guided Sampling
Mohamed El Banani
Karan Desai
Justin Johnson
SSL
VLM
21
28
0
23 Feb 2023
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating
  Orthogonal Features
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating Orthogonal Features
Annie S. Chen
Yoonho Lee
Amrith Rajagopal Setlur
Sergey Levine
Chelsea Finn
VLM
35
9
0
10 Feb 2023
SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in
  Image Classification
SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification
Gorka Abad
Jing Xu
Stefanos Koffas
Behrad Tajalli
S. Picek
Mauro Conti
AAML
63
5
0
03 Feb 2023
Sherlock in OSS: A Novel Approach of Content-Based Searching in Object
  Storage System
Sherlock in OSS: A Novel Approach of Content-Based Searching in Object Storage System
Jannatun Noor
Rizwanul Haque Ratul
Mir Rownak Ali Uday
J. Mondal
Md. Sadiqul Islam Sakif
Al Islam
36
5
0
24 Jan 2023
GH-Feat: Learning Versatile Generative Hierarchical Features from GANs
GH-Feat: Learning Versatile Generative Hierarchical Features from GANs
Yinghao Xu
Yujun Shen
Jiapeng Zhu
Ceyuan Yang
Bolei Zhou
28
2
0
12 Jan 2023
Does progress on ImageNet transfer to real-world datasets?
Does progress on ImageNet transfer to real-world datasets?
Alex Fang
Simon Kornblith
Ludwig Schmidt
VLM
29
34
0
11 Jan 2023
Graph Neural Network based Child Activity Recognition
Graph Neural Network based Child Activity Recognition
Sanka Mohottala
Pradeepa Samarasinghe
D. Kasthurirathna
Charith Abhayaratne
BDL
GNN
18
5
0
18 Dec 2022
Shapley variable importance cloud for machine learning models
Shapley variable importance cloud for machine learning models
Yilin Ning
Mingxuan Liu
Nan Liu
FAtt
TDI
35
1
0
16 Dec 2022
Generating and Weighting Semantically Consistent Sample Pairs for
  Ultrasound Contrastive Learning
Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning
Yixiong Chen
Chunhui Zhang
C. Ding
Li Liu
34
14
0
08 Dec 2022
On-device Training: A First Overview on Existing Systems
On-device Training: A First Overview on Existing Systems
Shuai Zhu
Thiemo Voigt
Jeonggil Ko
Fatemeh Rahimian
34
14
0
01 Dec 2022
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
Grégoire Petit
Adrian Daniel Popescu
Hugo Schindler
David Picard
Bertrand Delezoide
CLL
30
112
0
23 Nov 2022
Seeded iterative clustering for histology region identification
Seeded iterative clustering for histology region identification
Eduard Chelebian
F. Ciompi
C. Wählby
20
2
0
14 Nov 2022
ContextCLIP: Contextual Alignment of Image-Text pairs on CLIP visual
  representations
ContextCLIP: Contextual Alignment of Image-Text pairs on CLIP visual representations
Chanda Grover
Indra Deep Mastan
Debayan Gupta
VLM
CLIP
24
4
0
14 Nov 2022
Metaphors We Learn By
Metaphors We Learn By
Roland Memisevic
32
0
0
11 Nov 2022
Optimal Behavior Prior: Data-Efficient Human Models for Improved
  Human-AI Collaboration
Optimal Behavior Prior: Data-Efficient Human Models for Improved Human-AI Collaboration
Mesut Yang
Micah Carroll
Anca Dragan
35
13
0
03 Nov 2022
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online
  Reinforcement Learning
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning
Yi Zhao
Rinu Boney
Alexander Ilin
Arno Solin
Joni Pajarinen
OffRL
OnRL
28
39
0
25 Oct 2022
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
Yoonho Lee
Annie S. Chen
Fahim Tajwar
Ananya Kumar
Huaxiu Yao
Percy Liang
Chelsea Finn
OOD
61
198
0
20 Oct 2022
GULP: a prediction-based metric between representations
GULP: a prediction-based metric between representations
Enric Boix Adserà
Hannah Lawrence
George Stepaniants
Philippe Rigollet
46
11
0
12 Oct 2022
Continual Learning with Evolving Class Ontologies
Continual Learning with Evolving Class Ontologies
Zhiqiu Lin
Deepak Pathak
Yu-xiong Wang
Deva Ramanan
Shu Kong
CLL
44
9
0
10 Oct 2022
GNM: A General Navigation Model to Drive Any Robot
GNM: A General Navigation Model to Drive Any Robot
Dhruv Shah
A. Sridhar
Arjun Bhorkar
Noriaki Hirose
Sergey Levine
24
104
0
07 Oct 2022
Granularity-aware Adaptation for Image Retrieval over Multiple Tasks
Granularity-aware Adaptation for Image Retrieval over Multiple Tasks
Jon Almazán
ByungSoo Ko
Geonmo Gu
Diane Larlus
Yannis Kalantidis
ObjD
VLM
41
7
0
05 Oct 2022
Exploring Effective Knowledge Transfer for Few-shot Object Detection
Exploring Effective Knowledge Transfer for Few-shot Object Detection
Zhiyuan Zhao
Qingjie Liu
Yunhong Wang
40
9
0
05 Oct 2022
Generalization Bounds for Deep Transfer Learning Using Majority
  Predictor Accuracy
Generalization Bounds for Deep Transfer Learning Using Majority Predictor Accuracy
Cuong N.Nguyen
L. Ho
Vu C. Dinh
Tal Hassner
Cuong V.Nguyen
19
4
0
13 Sep 2022
OpenLDN: Learning to Discover Novel Classes for Open-World
  Semi-Supervised Learning
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning
Mamshad Nayeem Rizve
Navid Kardan
Salman Khan
Fahad Shahbaz Khan
M. Shah
42
49
0
05 Jul 2022
U(1) Symmetry-breaking Observed in Generic CNN Bottleneck Layers
U(1) Symmetry-breaking Observed in Generic CNN Bottleneck Layers
Louis-Franccois Bouchard
Mohsen Ben Lazreg
Matthew Toews
31
0
0
05 Jun 2022
Multi-Source Transfer Learning for Deep Model-Based Reinforcement
  Learning
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning
Remo Sasso
M. Sabatelli
M. Wiering
49
9
0
28 May 2022
COVID-19 Severity Classification on Chest X-ray Images
COVID-19 Severity Classification on Chest X-ray Images
Aditi Sagar
Aman Swaraj
Karan Verma
25
1
0
25 May 2022
GraSens: A Gabor Residual Anti-aliasing Sensing Framework for Action
  Recognition using WiFi
GraSens: A Gabor Residual Anti-aliasing Sensing Framework for Action Recognition using WiFi
Yanling Hao
Zhiyuan Shi
Xidong Mu
Yuanwei Liu
22
2
0
24 May 2022
1234...8910
Next