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Aligned to the Object, not to the Image: A Unified Pose-aligned
  Representation for Fine-grained Recognition

Aligned to the Object, not to the Image: A Unified Pose-aligned Representation for Fine-grained Recognition

27 January 2018
Pei Guo
Ryan Farrell
ArXivPDFHTML

Papers citing "Aligned to the Object, not to the Image: A Unified Pose-aligned Representation for Fine-grained Recognition"

6 / 6 papers shown
Title
M2Former: Multi-Scale Patch Selection for Fine-Grained Visual
  Recognition
M2Former: Multi-Scale Patch Selection for Fine-Grained Visual Recognition
Ji-Hee Moon
Junseok K. Lee
Yu-Ling Lee
Seongsik Park
40
4
0
04 Aug 2023
Weakly Supervised Keypoint Discovery
Weakly Supervised Keypoint Discovery
Serim Ryou
Pietro Perona
23
7
0
28 Sep 2021
Online Adaptation for Consistent Mesh Reconstruction in the Wild
Online Adaptation for Consistent Mesh Reconstruction in the Wild
Xueting Li
Sifei Liu
Shalini De Mello
Kihwan Kim
Xinyu Wang
Ming-Hsuan Yang
Jan Kautz
3DH
40
57
0
06 Dec 2020
Learning landmark guided embeddings for animal re-identification
Learning landmark guided embeddings for animal re-identification
Olga Moskvyak
Frederic Maire
Feras Dayoub
Mahsa Baktash
19
9
0
09 Jan 2020
Combinational Class Activation Maps for Weakly Supervised Object
  Localization
Combinational Class Activation Maps for Weakly Supervised Object Localization
Seunghan Yang
Yoonhyung Kim
Youngeun Kim
Changick Kim
WSOL
14
77
0
12 Oct 2019
The Application of Two-level Attention Models in Deep Convolutional
  Neural Network for Fine-grained Image Classification
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification
Tianjun Xiao
Yichong Xu
Kuiyuan Yang
Jiaxing Zhang
Yuxin Peng
Zheng Zhang
158
789
0
24 Nov 2014
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