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Animal Identification with Independent Foreground and Background
  Modeling

Animal Identification with Independent Foreground and Background Modeling

23 August 2024
Lukás Picek
Lukás Neumann
Jirí Matas
    VLM
ArXivPDFHTML

Papers citing "Animal Identification with Independent Foreground and Background Modeling"

14 / 14 papers shown
Title
Mitigating the Effect of Incidental Correlations on Part-based Learning
Mitigating the Effect of Incidental Correlations on Part-based Learning
Gaurav Bhatt
Deepayan Das
Leonid Sigal
Vineeth N. Balasubramanian
61
4
0
30 Sep 2023
SeaTurtleID2022: A long-span dataset for reliable sea turtle
  re-identification
SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identification
L. Adam
Vojtěch Čermák
Kostas Papafitsoros
Lukás Picek
53
15
0
18 Nov 2022
A ConvNet for the 2020s
A ConvNet for the 2020s
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
118
5,137
0
10 Jan 2022
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
60
407
0
25 Oct 2021
EfficientNetV2: Smaller Models and Faster Training
EfficientNetV2: Smaller Models and Faster Training
Mingxing Tan
Quoc V. Le
EgoV
99
2,682
0
01 Apr 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
402
21,347
0
25 Mar 2021
AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs
  in the Wild
AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild
Daniel Joska
Liam Clark
Naoya Muramatsu
Ricardo Jericevich
Fred Nicolls
Alexander Mathis
Mackenzie W. Mathis
Amir Patel
48
55
0
24 Mar 2021
Domain Shift in Computer Vision models for MRI data analysis: An
  Overview
Domain Shift in Computer Vision models for MRI data analysis: An Overview
E. Kondrateva
Marina Pominova
E. Popova
M. Sharaev
A. Bernstein
Evgeny Burnaev
OOD
28
35
0
14 Oct 2020
Non-Parametric Calibration for Classification
Non-Parametric Calibration for Classification
Jonathan Wenger
Hedvig Kjellström
Rudolph Triebel
UQCV
81
81
0
12 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
129
18,058
0
28 May 2019
Not Using the Car to See the Sidewalk: Quantifying and Controlling the
  Effects of Context in Classification and Segmentation
Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation
Rakshith Shetty
Bernt Schiele
Mario Fritz
51
83
0
17 Dec 2018
Regularizing Neural Networks by Penalizing Confident Output
  Distributions
Regularizing Neural Networks by Penalizing Confident Output Distributions
Gabriel Pereyra
George Tucker
J. Chorowski
Lukasz Kaiser
Geoffrey E. Hinton
NoLa
143
1,137
0
23 Jan 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
481
10,305
0
16 Nov 2016
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
717
27,303
0
02 Dec 2015
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