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Active Learning for Deep Object Detection

Active Learning for Deep Object Detection

26 September 2018
C. Brust
Christoph Käding
Joachim Denzler
    VLM
    ObjD
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Papers citing "Active Learning for Deep Object Detection"

15 / 15 papers shown
Title
Inconsistency-Based Data-Centric Active Open-Set Annotation
Inconsistency-Based Data-Centric Active Open-Set Annotation
Ruiyu Mao
Ouyang Xu
Yunhui Guo
43
4
0
10 Jan 2024
Two-Step Active Learning for Instance Segmentation with Uncertainty and
  Diversity Sampling
Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling
Ke Yu
Yuanmin Tang
Giulia DeSalvo
Suraj Kothawade
Abdullah Rashwan
S. Tavakkol
Kayhan Batmanghelich
Xiaoqi Yin
ISeg
32
0
0
28 Sep 2023
Active Learning for Semantic Segmentation with Multi-class Label Query
Active Learning for Semantic Segmentation with Multi-class Label Query
S. Hwang
Sohyun Lee
Hoyoung Kim
Minhyeon Oh
Jungseul Ok
Suha Kwak
VLM
38
7
0
17 Sep 2023
Streaming Active Learning with Deep Neural Networks
Streaming Active Learning with Deep Neural Networks
Akanksha Saran
Safoora Yousefi
A. Krishnamurthy
John Langford
Jordan T. Ash
40
15
0
05 Mar 2023
Frugal Reinforcement-based Active Learning
Frugal Reinforcement-based Active Learning
Sebastien Deschamps
H. Sahbi
16
0
0
09 Dec 2022
Evaluating Zero-cost Active Learning for Object Detection
Evaluating Zero-cost Active Learning for Object Detection
Dominik Probst
Hasnain Raza
E. Rodner
VLM
ObjD
34
1
0
08 Dec 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
33
6
0
27 Jul 2022
Active Learning Strategies for Weakly-supervised Object Detection
Active Learning Strategies for Weakly-supervised Object Detection
Huy V. Vo
Oriane Siméoni
Spyros Gidaris
Andrei Bursuc
Patrick Pérez
Jean Ponce
43
19
0
25 Jul 2022
A Survey on Intrinsic Images: Delving Deep Into Lambert and Beyond
A Survey on Intrinsic Images: Delving Deep Into Lambert and Beyond
Elena Garces
Carlos Rodriguez-Pardo
Dan Casas
Jorge López-Moreno
26
43
0
07 Dec 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
33
0
0
01 Oct 2021
Region-level Active Detector Learning
Region-level Active Detector Learning
Michael Laielli
Giscard Biamby
Dian Chen
Ritwik Gupta
Adam Loeffler
P. Nguyen
R. Luo
Trevor Darrell
Sayna Ebrahimi
ObjD
21
2
0
20 Aug 2021
Minimizing Supervision in Multi-label Categorization
Minimizing Supervision in Multi-label Categorization
Rajat
Munender Varshney
Pravendra Singh
Vinay P. Namboodi
14
2
0
26 May 2020
Active Learning for Deep Detection Neural Networks
Active Learning for Deep Detection Neural Networks
H. H. Aghdam
Abel Gonzalez-Garcia
Joost van de Weijer
Antonio M. López
VLM
ObjD
39
138
0
20 Nov 2019
LOST: A flexible framework for semi-automatic image annotation
LOST: A flexible framework for semi-automatic image annotation
Jonas Jäger
Gereon Reus
Joachim Denzler
Viviane Wolff
K. Fricke-Neuderth
VLM
15
2
0
16 Oct 2019
An Adaptive Supervision Framework for Active Learning in Object
  Detection
An Adaptive Supervision Framework for Active Learning in Object Detection
Sai Vikas Desai
Akshay L Chandra
Wei Guo
S. Ninomiya
V. Balasubramanian
29
41
0
07 Aug 2019
1