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Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks

Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks

10 September 2018
Adrià Recasens
Petr Kellnhofer
Simon Stent
Wojciech Matusik
Antonio Torralba
ArXivPDFHTML

Papers citing "Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks"

36 / 36 papers shown
Title
Zero-Shot Aerial Object Detection with Visual Description Regularization
Zero-Shot Aerial Object Detection with Visual Description Regularization
Zhengqing Zang
Chenyu Lin
Chenwei Tang
Tao Wang
Jiancheng Lv
ObjD
37
10
0
28 Feb 2024
Joint Hierarchical Priors and Adaptive Spatial Resolution for Efficient
  Neural Image Compression
Joint Hierarchical Priors and Adaptive Spatial Resolution for Efficient Neural Image Compression
Ahmed Ghorbel
W. Hamidouche
L. Morin
30
0
0
05 Jul 2023
Learning to Zoom and Unzoom
Learning to Zoom and Unzoom
Chittesh Thavamani
Mengtian Li
Francesco Ferroni
Deva Ramanan
22
8
0
27 Mar 2023
Learned Two-Plane Perspective Prior based Image Resampling for Efficient
  Object Detection
Learned Two-Plane Perspective Prior based Image Resampling for Efficient Object Detection
Anurag Ghosh
Dinesh Reddy Narapureddy
Christoph Mertz
S. Narasimhan
28
4
0
25 Mar 2023
Cascading Hierarchical Networks with Multi-task Balanced Loss for
  Fine-grained hashing
Cascading Hierarchical Networks with Multi-task Balanced Loss for Fine-grained hashing
Xianxian Zeng
Yanjun Zheng
20
2
0
20 Mar 2023
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
36
34
0
28 Dec 2022
Play It Back: Iterative Attention for Audio Recognition
Play It Back: Iterative Attention for Audio Recognition
Alexandros Stergiou
Dima Damen
37
4
0
20 Oct 2022
SIM-Trans: Structure Information Modeling Transformer for Fine-grained
  Visual Categorization
SIM-Trans: Structure Information Modeling Transformer for Fine-grained Visual Categorization
H. Sun
Xiangteng He
Yuxin Peng
ViT
37
77
0
31 Aug 2022
Efficient High-Resolution Deep Learning: A Survey
Efficient High-Resolution Deep Learning: A Survey
Arian Bakhtiarnia
Qi Zhang
Alexandros Iosifidis
MedIm
21
19
0
26 Jul 2022
Analysis of the Effect of Low-Overhead Lossy Image Compression on the
  Performance of Visual Crowd Counting for Smart City Applications
Analysis of the Effect of Low-Overhead Lossy Image Compression on the Performance of Visual Crowd Counting for Smart City Applications
Arian Bakhtiarnia
Błażej Leporowski
Lukas Esterle
Alexandros Iosifidis
27
4
0
20 Jul 2022
Task-adaptive Spatial-Temporal Video Sampler for Few-shot Action
  Recognition
Task-adaptive Spatial-Temporal Video Sampler for Few-shot Action Recognition
Huabin Liu
Weixian Lv
John See
W. Lin
TTA
29
11
0
20 Jul 2022
Spatial Transformation for Image Composition via Correspondence Learning
Spatial Transformation for Image Composition via Correspondence Learning
Bo Zhang
Yue Liu
K. Lu
Li Niu
Liqing Zhang
33
3
0
06 Jul 2022
SALISA: Saliency-based Input Sampling for Efficient Video Object
  Detection
SALISA: Saliency-based Input Sampling for Efficient Video Object Detection
B. Bejnordi
A. Habibian
Fatih Porikli
Amir Ghodrati
42
12
0
05 Apr 2022
Glance and Focus Networks for Dynamic Visual Recognition
Glance and Focus Networks for Dynamic Visual Recognition
Gao Huang
Yulin Wang
Kangchen Lv
Haojun Jiang
Wenhui Huang
Pengfei Qi
S. Song
3DH
79
49
0
09 Jan 2022
The Way to my Heart is through Contrastive Learning: Remote
  Photoplethysmography from Unlabelled Video
The Way to my Heart is through Contrastive Learning: Remote Photoplethysmography from Unlabelled Video
John Gideon
Simon Stent
28
108
0
18 Nov 2021
Token Pooling in Vision Transformers
Token Pooling in Vision Transformers
D. Marin
Jen-Hao Rick Chang
Anurag Ranjan
Anish K. Prabhu
Mohammad Rastegari
Oncel Tuzel
ViT
76
66
0
08 Oct 2021
FOVEA: Foveated Image Magnification for Autonomous Navigation
FOVEA: Foveated Image Magnification for Autonomous Navigation
Chittesh Thavamani
Mengtian Li
N. Cebron
Deva Ramanan
33
32
0
27 Aug 2021
RAMS-Trans: Recurrent Attention Multi-scale Transformer forFine-grained
  Image Recognition
RAMS-Trans: Recurrent Attention Multi-scale Transformer forFine-grained Image Recognition
Yunqing Hu
Xuan Jin
Yin Zhang
Ha Hong
Jingfeng Zhang
Yuan He
Hui Xue
ViT
26
97
0
17 Jul 2021
Adaptive Mutual Supervision for Weakly-Supervised Temporal Action
  Localization
Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization
Chen Ju
Peisen Zhao
Siheng Chen
Ya-Qin Zhang
Xiaoyun Zhang
Qi Tian
WSOL
31
19
0
06 Apr 2021
Coarse-Fine Networks for Temporal Activity Detection in Videos
Coarse-Fine Networks for Temporal Activity Detection in Videos
Kumara Kahatapitiya
Michael S. Ryoo
AI4TS
50
38
0
01 Mar 2021
Positional Encoding as Spatial Inductive Bias in GANs
Positional Encoding as Spatial Inductive Bias in GANs
Rui Xu
Xintao Wang
Kai-xiang Chen
Bolei Zhou
Chen Change Loy
GAN
27
89
0
09 Dec 2020
SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time
  Segmentation
SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time Segmentation
Thomas Verelst
Tinne Tuytelaars
SSeg
10
16
0
24 Nov 2020
Learning Discriminative Representations for Fine-Grained Diabetic
  Retinopathy Grading
Learning Discriminative Representations for Fine-Grained Diabetic Retinopathy Grading
Li Tian
Liyan Ma
Zhijie Wen
Shaorong Xie
Yupeng Xu
MedIm
12
5
0
04 Nov 2020
A Unified Framework for Shot Type Classification Based on Subject
  Centric Lens
A Unified Framework for Shot Type Classification Based on Subject Centric Lens
Anyi Rao
Jiaze Wang
Linning Xu
Xuekun Jiang
Qingqiu Huang
Bolei Zhou
Dahua Lin
18
60
0
08 Aug 2020
From Design Draft to Real Attire: Unaligned Fashion Image Translation
From Design Draft to Real Attire: Unaligned Fashion Image Translation
Yu Han
Shuai Yang
Wenjing Wang
Jiaying Liu
DiffM
39
10
0
03 Aug 2020
Volumetric Transformer Networks
Volumetric Transformer Networks
Seungryong Kim
Sabine Süsstrunk
Mathieu Salzmann
ViT
14
5
0
18 Jul 2020
Interpretable and Accurate Fine-grained Recognition via Region Grouping
Interpretable and Accurate Fine-grained Recognition via Region Grouping
Zixuan Huang
Yin Li
12
138
0
21 May 2020
Learning When and Where to Zoom with Deep Reinforcement Learning
Learning When and Where to Zoom with Deep Reinforcement Learning
Burak Uzkent
Stefano Ermon
27
66
0
01 Mar 2020
Deformation-aware Unpaired Image Translation for Pose Estimation on
  Laboratory Animals
Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals
Siyuan Li
Semih Günel
Mirela Oštrek
Pavan Ramdya
Pascal Fua
Helge Rhodin
MedIm
16
37
0
23 Jan 2020
Deep Plastic Surgery: Robust and Controllable Image Editing with
  Human-Drawn Sketches
Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches
Shuai Yang
Zhangyang Wang
Jiaying Liu
Zongming Guo
20
68
0
09 Jan 2020
AutoScale: Learning to Scale for Crowd Counting and Localization
AutoScale: Learning to Scale for Crowd Counting and Localization
Chenfeng Xu
Dingkang Liang
Yongchao Xu
S. Bai
Wei Zhan
X. Bai
M. Tomizuka
27
105
0
20 Dec 2019
Streaming convolutional neural networks for end-to-end learning with
  multi-megapixel images
Streaming convolutional neural networks for end-to-end learning with multi-megapixel images
H. Pinckaers
Bram van Ginneken
G. Litjens
MedIm
27
94
0
11 Nov 2019
3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and
  RGB Semantic Segmentation
3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation
Yunlu Chen
Thomas Mensink
Masashi Sugiyama
3DPC
MDE
24
25
0
03 Oct 2019
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries
D. Marin
Zijian He
Peter Vajda
Priyam Chatterjee
Sam S. Tsai
Fei Yang
Yuri Boykov
SSeg
19
87
0
16 Jul 2019
Processing Megapixel Images with Deep Attention-Sampling Models
Processing Megapixel Images with Deep Attention-Sampling Models
Angelos Katharopoulos
Franccois Fleuret
25
64
0
03 May 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-Wei Zhang
158
789
0
24 Nov 2014
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