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Active Learning for Deep Detection Neural Networks

Active Learning for Deep Detection Neural Networks

20 November 2019
H. H. Aghdam
Abel Gonzalez-Garcia
Joost van de Weijer
Antonio M. López
    VLM
    ObjD
ArXivPDFHTML

Papers citing "Active Learning for Deep Detection Neural Networks"

29 / 29 papers shown
Title
Feedback-driven object detection and iterative model improvement
Feedback-driven object detection and iterative model improvement
Sönke Tenckhoff
Mario Koddenbrock
Erik Rodner
ObjD
VLM
84
0
0
29 Nov 2024
Automated Detection of Cat Facial Landmarks
Automated Detection of Cat Facial Landmarks
G.A. Martvel
I. Shimshoni
Anna Zamansky
CVBM
24
13
0
15 Oct 2023
Maturity-Aware Active Learning for Semantic Segmentation with
  Hierarchically-Adaptive Sample Assessment
Maturity-Aware Active Learning for Semantic Segmentation with Hierarchically-Adaptive Sample Assessment
Amirsaeed Yazdani
Xuelu Li
V. Monga
EDL
41
0
0
28 Aug 2023
Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active
  Learning
Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active Learning
A. Hekimoglu
Michael Schmidt
Alvaro Marcos-Ramiro
3DPC
28
10
0
17 Jul 2023
Evaluating the effect of data augmentation and BALD heuristics on
  distillation of Semantic-KITTI dataset
Evaluating the effect of data augmentation and BALD heuristics on distillation of Semantic-KITTI dataset
Ngoc Phuong Anh Duong
Alexandre Almin
Léo Lemarié
B. R. Kiran
27
0
0
21 Feb 2023
Exploring Active 3D Object Detection from a Generalization Perspective
Exploring Active 3D Object Detection from a Generalization Perspective
Yadan Luo
Zhuoxiao Chen
Zijian Wang
Xin Yu
Zi Huang
Mahsa Baktash
3DPC
34
27
0
23 Jan 2023
Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning
  for Salient Object Detection
Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection
Zhenyu Wu
Lin Wang
Wen Wang
Qing Xia
Chenglizhao Chen
Aimin Hao
Shuo Li
AAML
41
5
0
13 Dec 2022
Query-based Hard-Image Retrieval for Object Detection at Test Time
Query-based Hard-Image Retrieval for Object Detection at Test Time
Edward W. Ayers
Jonathan Sadeghi
John Redford
Romain Mueller
P. Dokania
25
1
0
23 Sep 2022
TokenCut: Segmenting Objects in Images and Videos with Self-supervised
  Transformer and Normalized Cut
TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut
Yangtao Wang
Xiaoke Shen
Yuan. Yuan
Yuming Du
Maomao Li
S. Hu
James L. Crowley
Dominique Vaufreydaz
VOS
ViT
20
76
0
01 Sep 2022
Active Learning with Effective Scoring Functions for Semi-Supervised Temporal Action Localization
Ding Li
Xuebing Yang
Yongqiang Tang
Chenyang Zhang
Wensheng Zhang
31
4
0
31 Aug 2022
Towards an Error-free Deep Occupancy Detector for Smart Camera Parking
  System
Towards an Error-free Deep Occupancy Detector for Smart Camera Parking System
Tung-Lam Duong
Van-Duc Le
Tien-Cuong Bui
H. To
11
3
0
17 Aug 2022
ALBench: A Framework for Evaluating Active Learning in Object Detection
ALBench: A Framework for Evaluating Active Learning in Object Detection
Zhanpeng Feng
Shiliang Zhang
Rinyoichi Takezoe
Wenze Hu
Manmohan Chandraker
Li-Jia Li
Vijay Narayanan
Xiaoyu Wang
VLM
25
6
0
27 Jul 2022
Active Pointly-Supervised Instance Segmentation
Active Pointly-Supervised Instance Segmentation
Chufeng Tang
Lingxi Xie
Gang Zhang
Xiaopeng Zhang
Qi Tian
Xiaolin Hu
ISeg
34
15
0
23 Jul 2022
Discovering and forecasting extreme events via active learning in neural
  operators
Discovering and forecasting extreme events via active learning in neural operators
Ethan Pickering
Stephen Guth
George Karniadakis
T. Sapsis
AI4CE
19
57
0
05 Apr 2022
LiDAR dataset distillation within bayesian active learning framework:
  Understanding the effect of data augmentation
LiDAR dataset distillation within bayesian active learning framework: Understanding the effect of data augmentation
Ngoc Phuong Anh Duong
Alexandre Almin
Léo Lemarié
B. R. Kiran
18
3
0
06 Feb 2022
CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation
Yu Qiao
Jincheng Zhu
Chengjiang Long
Zeyao Zhang
Yuxin Wang
Z. Du
Xin Yang
43
13
0
11 Dec 2021
Real-Time Learning from An Expert in Deep Recommendation Systems with
  Marginal Distance Probability Distribution
Real-Time Learning from An Expert in Deep Recommendation Systems with Marginal Distance Probability Distribution
A. Mahyari
P. Pirolli
Jacqueline A. LeBlanc
16
0
0
12 Oct 2021
OPAD: An Optimized Policy-based Active Learning Framework for Document
  Content Analysis
OPAD: An Optimized Policy-based Active Learning Framework for Document Content Analysis
Sumit Shekhar
Bhanu Prakash Reddy Guda
Ashutosh Chaubey
Ishan Jindal
Avanish Jain
30
0
0
01 Oct 2021
Bayesian Active Learning for Sim-to-Real Robotic Perception
Bayesian Active Learning for Sim-to-Real Robotic Perception
Jianxiang Feng
Jongseok Lee
M. Durner
Rudolph Triebel
52
13
0
23 Sep 2021
MCDAL: Maximum Classifier Discrepancy for Active Learning
MCDAL: Maximum Classifier Discrepancy for Active Learning
Jae-Won Cho
Dong-Jin Kim
Yunjae Jung
In So Kweon
16
46
0
23 Jul 2021
Not All Labels Are Equal: Rationalizing The Labeling Costs for Training
  Object Detection
Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection
Ismail Elezi
Zhiding Yu
Anima Anandkumar
Laura Leal-Taixe
J. Álvarez
ObjD
30
39
0
22 Jun 2021
Multiple instance active learning for object detection
Multiple instance active learning for object detection
Tianning Yuan
Fang Wan
Mengying Fu
Jianzhuang Liu
Songcen Xu
Xiangyang Ji
QiXiang Ye
WSOD
27
120
0
06 Apr 2021
Cost-Based Budget Active Learning for Deep Learning
Cost-Based Budget Active Learning for Deep Learning
P. Gikunda
Nicolas Jouandeau
16
1
0
09 Dec 2020
Learning to Rank for Active Learning: A Listwise Approach
Learning to Rank for Active Learning: A Listwise Approach
Minghan Li
Xialei Liu
J. Weijer
Bogdan Raducanu
27
22
0
31 Jul 2020
Deep Active Learning for Remote Sensing Object Detection
Deep Active Learning for Remote Sensing Object Detection
Zhenshen Qu
Jingda Du
Yong Cao
Qiuyu Guan
Pengbo Zhao
ObjD
11
17
0
17 Mar 2020
Parting with Illusions about Deep Active Learning
Parting with Illusions about Deep Active Learning
Sudhanshu Mittal
Maxim Tatarchenko
Özgün Çiçek
Thomas Brox
VLM
19
59
0
11 Dec 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
233
2,056
0
07 Jun 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
197
745
0
06 Jun 2015
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