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Presence-Only Geographical Priors for Fine-Grained Image Classification
v1v2v3 (latest)

Presence-Only Geographical Priors for Fine-Grained Image Classification

12 June 2019
Oisin Mac Aodha
Elijah Cole
Pietro Perona
ArXiv (abs)PDFHTML

Papers citing "Presence-Only Geographical Priors for Fine-Grained Image Classification"

40 / 90 papers shown
Title
GeoMultiTaskNet: remote sensing unsupervised domain adaptation using
  geographical coordinates
GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates
V. Marsocci
Nicolas Gonthier
A. Garioud
Simone Scardapane
Clement Mallet
66
12
0
16 Apr 2023
Context Understanding in Computer Vision: A Survey
Context Understanding in Computer Vision: A Survey
Xuan Wang
Zhigang Zhu
103
52
0
10 Feb 2023
Parsing Objects at a Finer Granularity: A Survey
Parsing Objects at a Finer Granularity: A Survey
Yifan Zhao
Jia Li
Yonghong Tian
126
2
0
28 Dec 2022
Part-guided Relational Transformers for Fine-grained Visual Recognition
Part-guided Relational Transformers for Fine-grained Visual Recognition
Yifan Zhao
Jia Li
Xiaowu Chen
Yonghong Tian
ViT
90
37
0
28 Dec 2022
An Effective Approach for Multi-label Classification with Missing Labels
An Effective Approach for Multi-label Classification with Missing Labels
Xin Zhang
R. Abdelfattah
Yuqi Song
Xiang Wang
58
4
0
24 Oct 2022
G2NetPL: Generic Game-Theoretic Network for Partial-Label Image
  Classification
G2NetPL: Generic Game-Theoretic Network for Partial-Label Image Classification
R. Abdelfattah
Xin Zhang
M. Fouda
Xiang Wang
Song Wang
VLM
67
6
0
20 Oct 2022
Towards General-Purpose Representation Learning of Polygonal Geometries
Towards General-Purpose Representation Learning of Polygonal Geometries
Gengchen Mai
C. Jiang
Weiwei Sun
Rui Zhu
Yao Xuan
Ling Cai
K. Janowicz
Stefano Ermon
Ni Lao
84
38
0
29 Sep 2022
A patch-based architecture for multi-label classification from single
  label annotations
A patch-based architecture for multi-label classification from single label annotations
Warren Jouanneau
Aurélie Bugeau
Marc Palyart
Nicolas Papadakis
Laurent Vézard
83
0
0
14 Sep 2022
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image
  Classification
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image Classification
R. Abdelfattah
Xin Zhang
Zhenyao Wu
Xinyi Wu
Xiang Wang
Song Wang
VLM
68
6
0
22 Aug 2022
Explored An Effective Methodology for Fine-Grained Snake Recognition
Explored An Effective Methodology for Fine-Grained Snake Recognition
Yong Huang
Aderon Huang
Wei-wei Zhu
Yanming Fang
Jinghua Feng
58
1
0
24 Jul 2022
METER-ML: A Multi-Sensor Earth Observation Benchmark for Automated
  Methane Source Mapping
METER-ML: A Multi-Sensor Earth Observation Benchmark for Automated Methane Source Mapping
B. Zhu
Nicholas Lui
Jeremy Irvin
Jimmy Le
Sahil Tadwalkar
Chenghao Wang
Zutao Ouyang
Frankie Y. Liu
Andrew Y. Ng
R. Jackson
95
16
0
22 Jul 2022
Solutions for Fine-grained and Long-tailed Snake Species Recognition in
  SnakeCLEF 2022
Solutions for Fine-grained and Long-tailed Snake Species Recognition in SnakeCLEF 2022
Cheng Zou
Furong Xu
Meng Wang
Wenqi Li
Yuan Cheng
52
6
0
04 Jul 2022
Large Loss Matters in Weakly Supervised Multi-Label Classification
Large Loss Matters in Weakly Supervised Multi-Label Classification
Youngwook Kim
Jae Myung Kim
Zeynep Akata
Jungwook Lee
NoLa
88
47
0
08 Jun 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
69
39
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 Jiang
Bin Wen
Jianxiang Sun
Zehuan Yuan
77
63
0
05 Mar 2022
Resolving label uncertainty with implicit posterior models
Resolving label uncertainty with implicit posterior models
Esther Rolf
Nikolay Malkin
Alexandros Graikos
A. Jojic
Caleb Robinson
Nebojsa Jojic
UQCV
78
10
0
28 Feb 2022
TIML: Task-Informed Meta-Learning for Agriculture
TIML: Task-Informed Meta-Learning for Agriculture
Gabriel Tseng
Hannah Kerner
David Rolnick
82
7
0
04 Feb 2022
Sphere2Vec: Multi-Scale Representation Learning over a Spherical Surface
  for Geospatial Predictions
Sphere2Vec: Multi-Scale Representation Learning over a Spherical Surface for Geospatial Predictions
Gengchen Mai
Yao Xuan
Wenyun Zuo
K. Janowicz
Ni Lao
39
4
0
25 Jan 2022
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 Belongie
139
296
0
11 Nov 2021
A Review of Location Encoding for GeoAI: Methods and Applications
A Review of Location Encoding for GeoAI: Methods and Applications
Gengchen Mai
K. Janowicz
Yingjie Hu
Song Gao
Bo Yan
Rui Zhu
Ling Cai
Ni Lao
138
121
0
07 Nov 2021
Seeing biodiversity: perspectives in machine learning for wildlife
  conservation
Seeing biodiversity: perspectives in machine learning for wildlife conservation
D. Tuia
B. Kellenberger
Sara Beery
Blair R. Costelloe
Silvia Zuffi
...
I. Couzin
Grant Van Horn
M. Crofoot
Chuck Stewart
T. Berger-Wolf
98
420
0
25 Oct 2021
SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal
  Patterns with an Autoregressive Embedding Loss
SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss
Konstantin Klemmer
Tianlin Xu
Beatrice Acciaio
Daniel B. Neill
AI4TS
116
14
0
30 Sep 2021
GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World
  Scale
GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World Scale
Nicolas Tempelmeier
Simon Gottschalk
Elena Demidova
71
15
0
30 Aug 2021
Focus on the Positives: Self-Supervised Learning for Biodiversity
  Monitoring
Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring
Omiros Pantazis
Gabriel J. Brostow
Kate E. Jones
Oisin Mac Aodha
SSL
61
30
0
14 Aug 2021
Species Distribution Modeling for Machine Learning Practitioners: A
  Review
Species Distribution Modeling for Machine Learning Practitioners: A Review
Sara Beery
Elijah Cole
Joseph Parker
Pietro Perona
Kevin Winner
75
72
0
03 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
68
22
0
29 Jun 2021
Multi-Label Learning from Single Positive Labels
Multi-Label Learning from Single Positive Labels
Elijah Cole
Oisin Mac Aodha
Titouan Lorieul
Pietro Perona
Dan Morris
Nebojsa Jojic
93
114
0
17 Jun 2021
Digital Taxonomist: Identifying Plant Species in Community Scientists'
  Photographs
Digital Taxonomist: Identifying Plant Species in Community Scientists' Photographs
Riccardo de Lutio
Yihang She
Stefano Dáronco
Stefani A. Russo
P. Brun
Jan Dirk Wegner
Konrad Schindler
58
23
0
07 Jun 2021
Geographic Question Answering: Challenges, Uniqueness, Classification,
  and Future Directions
Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directions
Gengchen Mai
K. Janowicz
Rui Zhu
Ling Cai
Ni Lao
61
62
0
19 May 2021
The iWildCam 2021 Competition Dataset
The iWildCam 2021 Competition Dataset
Sara Beery
Arush Agarwal
Elijah Cole
Vighnesh Birodkar
76
79
0
07 May 2021
Learning Neighborhood Representation from Multi-Modal Multi-Graph:
  Image, Text, Mobility Graph and Beyond
Learning Neighborhood Representation from Multi-Modal Multi-Graph: Image, Text, Mobility Graph and Beyond
Tianyuan Huang
Zhecheng Wang
Hao Sheng
Andrew Y. Ng
Ram Rajagopal
AI4TS
73
10
0
06 May 2021
Benchmarking Representation Learning for Natural World Image Collections
Benchmarking Representation Learning for Natural World Image Collections
Grant Van Horn
Elijah Cole
Sara Beery
Kimberly Wilber
Serge J. Belongie
Oisin Mac Aodha
SSLVLM
76
179
0
30 Mar 2021
Geo-Spatiotemporal Features and Shape-Based Prior Knowledge for
  Fine-grained Imbalanced Data Classification
Geo-Spatiotemporal Features and Shape-Based Prior Knowledge for Fine-grained Imbalanced Data Classification
Charles A. Kantor
Marta Skreta
Brice Rauby
Léonard Boussioux
Emmanuel
A. Luccioni
David Rolnick
Hugues Talbot
26
0
0
21 Mar 2021
Danish Fungi 2020 -- Not Just Another Image Recognition Dataset
Danish Fungi 2020 -- Not Just Another Image Recognition Dataset
Lukás Picek
Milan Šulc
Jirí Matas
J. Heilmann‐Clausen
T. Jeppesen
T. Læssøe
T. Frøslev
101
56
0
18 Mar 2021
Set-valued classification -- overview via a unified framework
Set-valued classification -- overview via a unified framework
Evgenii Chzhen
Christophe Denis
Mohamed Hebiri
Titouan Lorieul
174
34
0
24 Feb 2021
Geography-Aware Self-Supervised Learning
Geography-Aware Self-Supervised Learning
Kumar Ayush
Burak Uzkent
Chenlin Meng
Kumar Tanmay
Marshall Burke
David B. Lobell
Stefano Ermon
SSL
124
235
0
19 Nov 2020
Location Sensitive Image Retrieval and Tagging
Location Sensitive Image Retrieval and Tagging
Raul Gomez
J. Gibert
Lluís Gómez
Dimosthenis Karatzas
116
4
0
07 Jul 2020
Auxiliary-task learning for geographic data with autoregressive
  embeddings
Auxiliary-task learning for geographic data with autoregressive embeddings
Konstantin Klemmer
Daniel B. Neill
135
13
0
18 Jun 2020
SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic
  Question Answering and Spatial Semantic Lifting
SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic Lifting
Gengchen Mai
K. Janowicz
Ling Cai
Rui Zhu
Blake Regalia
Bo Yan
Meilin Shi
Ni Lao
105
80
0
25 Apr 2020
Multi-Scale Representation Learning for Spatial Feature Distributions
  using Grid Cells
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells
Gengchen Mai
K. Janowicz
Bo Yan
Rui Zhu
Ling Cai
Ni Lao
SSL
148
125
0
16 Feb 2020
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