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Large Scale Fine-Grained Categorization and Domain-Specific Transfer
  Learning

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning

16 June 2018
Yin Cui
Yang Song
Chen Sun
Andrew G. Howard
Serge J. Belongie
ArXivPDFHTML

Papers citing "Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning"

50 / 80 papers shown
Title
Neural network task specialization via domain constraining
Neural network task specialization via domain constraining
Roman Malashin
Daniil Ilyukhin
49
0
0
28 Apr 2025
Transfer Learning with Pre-trained Conditional Generative Models
Transfer Learning with Pre-trained Conditional Generative Models
Shinýa Yamaguchi
Sekitoshi Kanai
Atsutoshi Kumagai
Daiki Chijiwa
H. Kashima
VLM
CLL
BDL
DiffM
132
5
0
21 Feb 2025
CLIP with Generative Latent Replay: a Strong Baseline for Incremental
  Learning
CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning
Emanuele Frascaroli
Aniello Panariello
Pietro Buzzega
Lorenzo Bonicelli
Angelo Porrello
Simone Calderara
VLM
CLL
35
3
0
22 Jul 2024
Effective-LDAM: An Effective Loss Function To Mitigate Data Imbalance
  for Robust Chest X-Ray Disease Classification
Effective-LDAM: An Effective Loss Function To Mitigate Data Imbalance for Robust Chest X-Ray Disease Classification
S. SreeRamaVamsidhar
Bhargava Satya
Rama Krishna Sai Subrahmanyam Gorthi
20
1
0
06 Jul 2024
Edge-guided and Class-balanced Active Learning for Semantic Segmentation
  of Aerial Images
Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images
Lianlei Shan
Weiqiang Wang
Ke Lv
Bin Luo
VLM
25
0
0
28 May 2024
DAPlankton: Benchmark Dataset for Multi-instrument Plankton Recognition
  via Fine-grained Domain Adaptation
DAPlankton: Benchmark Dataset for Multi-instrument Plankton Recognition via Fine-grained Domain Adaptation
Daniel Batrakhanov
T. Eerola
K. Kraft
Lumi Haraguchi
L. Lensu
S. Suikkanen
María Teresa Camarena-Gómez
Jukka Seppälä
H. Kalviainen
16
3
0
08 Feb 2024
Reviving Undersampling for Long-Tailed Learning
Reviving Undersampling for Long-Tailed Learning
Hao Yu
Yingxiao Du
Jianxin Wu
26
1
0
30 Jan 2024
Few and Fewer: Learning Better from Few Examples Using Fewer Base
  Classes
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes
Raphael Lafargue
Yassir Bendou
Bastien Pasdeloup
J. Diguet
Ian Reid
Vincent Gripon
Jack Valmadre
21
0
0
29 Jan 2024
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural
  Networks
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks
Jiarong Xu
Renhong Huang
Xin Jiang
Yuxuan Cao
Carl Yang
Chunping Wang
Yang Yang
AI4CE
31
14
0
02 Nov 2023
Automated Visual Monitoring of Nocturnal Insects with Light-based Camera
  Traps
Automated Visual Monitoring of Nocturnal Insects with Light-based Camera Traps
D. Korsch
P. Bodesheim
G. Brehm
Joachim Denzler
34
1
0
28 Jul 2023
Deep Learning Pipeline for Automated Visual Moth Monitoring: Insect
  Localization and Species Classification
Deep Learning Pipeline for Automated Visual Moth Monitoring: Insect Localization and Species Classification
D. Korsch
P. Bodesheim
Joachim Denzler
16
12
0
28 Jul 2023
AnuraSet: A dataset for benchmarking Neotropical anuran calls
  identification in passive acoustic monitoring
AnuraSet: A dataset for benchmarking Neotropical anuran calls identification in passive acoustic monitoring
Juan Sebastián Canas
Maria Paula Toro-Gómez
L. S. M. Sugai
H. Benítez-Restrepo
J. Rudas
...
José Luiz Massao Moreira Sugai
Carolina Emília dos Santos
R. Bastos
Diego Llusia
J. Ulloa
28
18
0
11 Jul 2023
Can Continual Learning Improve Long-Tailed Recognition? Toward a Unified
  Framework
Can Continual Learning Improve Long-Tailed Recognition? Toward a Unified Framework
Mahdiyar Molahasani
Michael A. Greenspan
Ali Etemad
24
2
0
23 Jun 2023
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
Sebastian Pineda Arango
Fabio Ferreira
Arlind Kadra
Frank Hutter
Frank Hutter Josif Grabocka
29
15
0
06 Jun 2023
Predicting and Enhancing the Fairness of DNNs with the Curvature of
  Perceptual Manifolds
Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds
Yanbiao Ma
Licheng Jiao
F. Liu
Maoji Wen
Lingling Li
Wenping Ma
Shuyuan Yang
Xu Liu
Puhua Chen
36
5
0
22 Mar 2023
Scaling Vision Transformers to 22 Billion Parameters
Scaling Vision Transformers to 22 Billion Parameters
Mostafa Dehghani
Josip Djolonga
Basil Mustafa
Piotr Padlewski
Jonathan Heek
...
Mario Luvcić
Xiaohua Zhai
Daniel Keysers
Jeremiah Harmsen
N. Houlsby
MLLM
61
569
0
10 Feb 2023
Instance-level Heterogeneous Domain Adaptation for Limited-labeled
  Sketch-to-Photo Retrieval
Instance-level Heterogeneous Domain Adaptation for Limited-labeled Sketch-to-Photo Retrieval
Fan Yang
Yang Wu
Zheng Wang
Xiang Li
S. Sakti
Satoshi Nakamura
VLM
17
25
0
26 Nov 2022
A picture of the space of typical learnable tasks
A picture of the space of typical learnable tasks
Rahul Ramesh
J. Mao
Itay Griniasty
Rubing Yang
H. Teoh
M. Transtrum
J. Sethna
Pratik Chaudhari
SSL
DRL
36
4
0
31 Oct 2022
Class-Level Logit Perturbation
Class-Level Logit Perturbation
Mengyang Li
Fengguang Su
O. Wu
Tianjin University
AAML
29
3
0
13 Sep 2022
Difficulty-Net: Learning to Predict Difficulty for Long-Tailed
  Recognition
Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition
Saptarshi Sinha
Hiroki Ohashi
11
6
0
07 Sep 2022
Open Long-Tailed Recognition in a Dynamic World
Open Long-Tailed Recognition in a Dynamic World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
VLM
31
18
0
17 Aug 2022
Fine-Grained Visual Classification using Self Assessment Classifier
Fine-Grained Visual Classification using Self Assessment Classifier
Tuong Khanh Long Do
Huy Tran
Erman Tjiputra
Quang-Dieu Tran
Anh Nguyen
35
12
0
21 May 2022
How to Fine-tune Models with Few Samples: Update, Data Augmentation, and
  Test-time Augmentation
How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation
Yujin Kim
Jaehoon Oh
Sungnyun Kim
Se-Young Yun
29
6
0
13 May 2022
Dynamic MLP for Fine-Grained Image Classification by Leveraging
  Geographical and Temporal Information
Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information
Lingfeng Yang
Xiang Li
Renjie Song
Borui Zhao
J. Tao
Shihao Zhou
Jiajun Liang
Jian Yang
24
37
0
07 Mar 2022
MetaFormer: A Unified Meta Framework for Fine-Grained Recognition
MetaFormer: A Unified Meta Framework for Fine-Grained Recognition
Qishuai Diao
Yi-Xin Jiang
Bin Wen
Jianxiang Sun
Zehuan Yuan
31
60
0
05 Mar 2022
Transferability in Deep Learning: A Survey
Transferability in Deep Learning: A Survey
Junguang Jiang
Yang Shu
Jianmin Wang
Mingsheng Long
OOD
31
101
0
15 Jan 2022
Learning Representations with Contrastive Self-Supervised Learning for
  Histopathology Applications
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications
Karin Stacke
Jonas Unger
Claes Lundström
Gabriel Eilertsen
OOD
SSL
21
25
0
10 Dec 2021
Transferability Estimation using Bhattacharyya Class Separability
Transferability Estimation using Bhattacharyya Class Separability
Michal Pándy
A. Agostinelli
J. Uijlings
V. Ferrari
Thomas Mensink
11
57
0
24 Nov 2021
Fine-Grained Image Analysis with Deep Learning: A Survey
Fine-Grained Image Analysis with Deep Learning: A Survey
Xiu-Shen Wei
Yi-Zhe Song
Oisin Mac Aodha
Jianxin Wu
Yuxin Peng
Jinhui Tang
Jian Yang
Serge J. Belongie
68
279
0
11 Nov 2021
Attend and Guide (AG-Net): A Keypoints-driven Attention-based Deep
  Network for Image Recognition
Attend and Guide (AG-Net): A Keypoints-driven Attention-based Deep Network for Image Recognition
Asish Bera
Zachary Wharton
Yonghuai Liu
Nikolaos Bessis
Ardhendu Behera
26
41
0
23 Oct 2021
Improving Tail-Class Representation with Centroid Contrastive Learning
Improving Tail-Class Representation with Centroid Contrastive Learning
A. M. H. Tiong
Junnan Li
Guosheng Lin
Boyang Albert Li
Caiming Xiong
S. Hoi
VLM
28
13
0
19 Oct 2021
Fine-Grained Adversarial Semi-supervised Learning
Fine-Grained Adversarial Semi-supervised Learning
Daniele Mugnai
F. Pernici
F. Turchini
A. Bimbo
22
8
0
12 Oct 2021
Improving Fractal Pre-training
Improving Fractal Pre-training
Connor Anderson
Ryan Farrell
85
27
0
06 Oct 2021
Long-tailed Distribution Adaptation
Long-tailed Distribution Adaptation
Zhiliang Peng
Wei Huang
Zonghao Guo
Xiaosong Zhang
Jianbin Jiao
QiXiang Ye
21
10
0
06 Oct 2021
A Strong Baseline for the VIPriors Data-Efficient Image Classification
  Challenge
A Strong Baseline for the VIPriors Data-Efficient Image Classification Challenge
Björn Barz
Lorenzo Brigato
Luca Iocchi
Joachim Denzler
VLM
22
2
0
28 Sep 2021
Tune It or Don't Use It: Benchmarking Data-Efficient Image
  Classification
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification
Lorenzo Brigato
Björn Barz
Luca Iocchi
Joachim Denzler
30
16
0
30 Aug 2021
Transformer with Peak Suppression and Knowledge Guidance for
  Fine-grained Image Recognition
Transformer with Peak Suppression and Knowledge Guidance for Fine-grained Image Recognition
Xinda Liu
Lili Wang
Xiaoguang Han
ViT
34
66
0
14 Jul 2021
Unsupervised Model Drift Estimation with Batch Normalization Statistics
  for Dataset Shift Detection and Model Selection
Unsupervised Model Drift Estimation with Batch Normalization Statistics for Dataset Shift Detection and Model Selection
Won-Jo Lee
Seokhyun Byun
Jooeun Kim
Minje Park
Kirill Chechil
AI4TS
21
2
0
01 Jul 2021
ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant
  Re-Identification
ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identification
Peter Kulits
J. Wall
A. Bedetti
M. Henley
Sara Beery
24
20
0
29 Jun 2021
The Hitchhiker's Guide to Prior-Shift Adaptation
The Hitchhiker's Guide to Prior-Shift Adaptation
Tomas Sipka
Milan Šulc
Jirí Matas
VLM
13
16
0
22 Jun 2021
GAIA: A Transfer Learning System of Object Detection that Fits Your
  Needs
GAIA: A Transfer Learning System of Object Detection that Fits Your Needs
Xingyuan Bu
Junran Peng
Junjie Yan
T. Tan
Zhaoxiang Zhang
ObjD
VLM
28
53
0
21 Jun 2021
Frustratingly Easy Transferability Estimation
Frustratingly Easy Transferability Estimation
Long-Kai Huang
Ying Wei
Yu Rong
Qiang Yang
Junzhou Huang
25
57
0
17 Jun 2021
End-to-end Neural Diarization: From Transformer to Conformer
End-to-end Neural Diarization: From Transformer to Conformer
Yi Y. Liu
Eunjung Han
Chul Lee
A. Stolcke
11
40
0
14 Jun 2021
Multi-Agent Semi-Siamese Training for Long-tail and Shallow Face
  Learning
Multi-Agent Semi-Siamese Training for Long-tail and Shallow Face Learning
Hailin Shi
Dan Zeng
Yichun Tai
Hang Du
Yibo Hu
Zicheng Zhang
Tao Mei
CVBM
31
4
0
10 May 2021
On Exposing the Challenging Long Tail in Future Prediction of Traffic
  Actors
On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors
Osama Makansi
Özgün Çiçek
Yassine Marrakchi
Thomas Brox
29
46
0
23 Mar 2021
Adaptive Consistency Regularization for Semi-Supervised Transfer
  Learning
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
Abulikemu Abuduweili
Xingjian Li
Humphrey Shi
Chengzhong Xu
Dejing Dou
35
77
0
03 Mar 2021
Re-rank Coarse Classification with Local Region Enhanced Features for
  Fine-Grained Image Recognition
Re-rank Coarse Classification with Local Region Enhanced Features for Fine-Grained Image Recognition
Shaokang Yang
Shuai Liu
Cheng Yang
Changhu Wang
22
32
0
19 Feb 2021
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced
  Semi-Supervised Learning
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning
Chen Wei
Kihyuk Sohn
Clayton Mellina
Alan Yuille
Fan Yang
CLL
26
256
0
18 Feb 2021
A linearized framework and a new benchmark for model selection for
  fine-tuning
A linearized framework and a new benchmark for model selection for fine-tuning
Aditya Deshpande
Alessandro Achille
Avinash Ravichandran
Hao Li
L. Zancato
Charless C. Fowlkes
Rahul Bhotika
Stefano Soatto
Pietro Perona
ALM
109
46
0
29 Jan 2021
Context-aware Attentional Pooling (CAP) for Fine-grained Visual
  Classification
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification
Ardhendu Behera
Zachary Wharton
Pradeep Ruwan Padmasiri Galbokka Hewage
Asish Bera
59
108
0
17 Jan 2021
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