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Learning When and Where to Zoom with Deep Reinforcement Learning

Learning When and Where to Zoom with Deep Reinforcement Learning

1 March 2020
Burak Uzkent
Stefano Ermon
ArXivPDFHTML

Papers citing "Learning When and Where to Zoom with Deep Reinforcement Learning"

13 / 13 papers shown
Title
SpectralZoom: Efficient Segmentation with an Adaptive Hyperspectral
  Camera
SpectralZoom: Efficient Segmentation with an Adaptive Hyperspectral Camera
Jackson Arnold
Sophia Rossi
Chloe Petrosino
Ethan Mitchell
Sanjeev J. Koppal
34
0
0
06 Jun 2024
Reinforcement Learning as a Parsimonious Alternative to Prediction
  Cascades: A Case Study on Image Segmentation
Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation
Bharat Srikishan
Anika Tabassum
S. Allu
Ramakrishnan Kannan
Nikhil Muralidhar
45
1
0
19 Feb 2024
GOHSP: A Unified Framework of Graph and Optimization-based Heterogeneous
  Structured Pruning for Vision Transformer
GOHSP: A Unified Framework of Graph and Optimization-based Heterogeneous Structured Pruning for Vision Transformer
Miao Yin
Burak Uzkent
Yilin Shen
Hongxia Jin
Bo Yuan
ViT
24
13
0
13 Jan 2023
Task-Oriented Image Transmission for Scene Classification in Unmanned
  Aerial Systems
Task-Oriented Image Transmission for Scene Classification in Unmanned Aerial Systems
Xu Kang
Bin Song
Jie Guo
Zhijin Qin
F. Yu
12
95
0
21 Dec 2021
IS-COUNT: Large-scale Object Counting from Satellite Images with
  Covariate-based Importance Sampling
IS-COUNT: Large-scale Object Counting from Satellite Images with Covariate-based Importance Sampling
Chenlin Meng
Enci Liu
W. Neiswanger
Jiaming Song
Marshall Burke
David B. Lobell
Stefano Ermon
11
19
0
16 Dec 2021
A Probabilistic Hard Attention Model For Sequentially Observed Scenes
A Probabilistic Hard Attention Model For Sequentially Observed Scenes
Samrudhdhi B. Rangrej
James J. Clark
24
12
0
15 Nov 2021
FOVEA: Foveated Image Magnification for Autonomous Navigation
FOVEA: Foveated Image Magnification for Autonomous Navigation
Chittesh Thavamani
Mengtian Li
N. Cebron
Deva Ramanan
25
32
0
27 Aug 2021
AdaZoom: Adaptive Zoom Network for Multi-Scale Object Detection in Large
  Scenes
AdaZoom: Adaptive Zoom Network for Multi-Scale Object Detection in Large Scenes
Jingtao Xu
Yali Li
Shengjin Wang
ObjD
8
12
0
19 Jun 2021
Resolution learning in deep convolutional networks using scale-space
  theory
Resolution learning in deep convolutional networks using scale-space theory
Silvia L.Pintea
Nergis Tomen
Stanley F. Goes
Marco Loog
J. C. V. Gemert
SupR
SSL
22
37
0
07 Jun 2021
SaccadeCam: Adaptive Visual Attention for Monocular Depth Sensing
SaccadeCam: Adaptive Visual Attention for Monocular Depth Sensing
Brevin Tilmon
S. Koppal
MDE
19
5
0
24 Mar 2021
Using Distance Correlation for Efficient Bayesian Optimization
Using Distance Correlation for Efficient Bayesian Optimization
T. Kanazawa
41
3
0
17 Feb 2021
Predicting Livelihood Indicators from Community-Generated Street-Level
  Imagery
Predicting Livelihood Indicators from Community-Generated Street-Level Imagery
Jihyeon Janel Lee
Dylan Grosz
Burak Uzkent
Sicheng Zeng
Marshall Burke
David B. Lobell
Stefano Ermon
14
3
0
15 Jun 2020
Multi-Attention Multi-Class Constraint for Fine-grained Image
  Recognition
Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition
Ming-hui Sun
Yuchen Yuan
Feng Zhou
Errui Ding
123
350
0
14 Jun 2018
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