Expandable-RCNN: toward high-efficiency incremental few-shot object detection

Expandable-RCNN: toward high-efficiency incremental few-shot object detection

10.3389/frai.2024.1377337

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Bibliographic Details
Main Authors: Li, Y, Tian, S, Zhu, H, Jin, Y, Wang, K, Ma, J, Xiang, C, Vadakkepat, P
Other Authors: ELECTRICAL AND COMPUTER ENGINEERING
Format: Article
Published: Frontiers Media SA 2024
Subjects:
few-shot learning
incremental learning
long-tailed recognition
object detection
zero-shot learning
Online Access:https://scholarbank.nus.edu.sg/handle/10635/248842
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Institution: National University of Singapore
id sg-nus-scholar.10635-248842
record_format dspace
spelling sg-nus-scholar.10635-2488422024-11-14T03:36:04Z Expandable-RCNN: toward high-efficiency incremental few-shot object detection Li, Y Tian, S Zhu, H Jin, Y Wang, K Ma, J Xiang, C Vadakkepat, P ELECTRICAL AND COMPUTER ENGINEERING Assoc Prof Prahlad Vadakkepat few-shot learning incremental learning long-tailed recognition object detection zero-shot learning 10.3389/frai.2024.1377337 Frontiers in Artificial Intelligence 7 1377337- 2024-06-12T03:13:52Z 2024-06-12T03:13:52Z 2024-01-01 2024-06-12T01:36:11Z Article Li, Y, Tian, S, Zhu, H, Jin, Y, Wang, K, Ma, J, Xiang, C, Vadakkepat, P (2024-01-01). Expandable-RCNN: toward high-efficiency incremental few-shot object detection. Frontiers in Artificial Intelligence 7 : 1377337-. ScholarBank@NUS Repository. https://doi.org/10.3389/frai.2024.1377337 2624-8212 https://scholarbank.nus.edu.sg/handle/10635/248842 Frontiers Media SA Elements
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic few-shot learning
incremental learning
long-tailed recognition
object detection
zero-shot learning
spellingShingle few-shot learning
incremental learning
long-tailed recognition
object detection
zero-shot learning
Li, Y
Tian, S
Zhu, H
Jin, Y
Wang, K
Ma, J
Xiang, C
Vadakkepat, P
Expandable-RCNN: toward high-efficiency incremental few-shot object detection
description 10.3389/frai.2024.1377337
author2 ELECTRICAL AND COMPUTER ENGINEERING
author_facet ELECTRICAL AND COMPUTER ENGINEERING
Li, Y
Tian, S
Zhu, H
Jin, Y
Wang, K
Ma, J
Xiang, C
Vadakkepat, P
format Article
author Li, Y
Tian, S
Zhu, H
Jin, Y
Wang, K
Ma, J
Xiang, C
Vadakkepat, P
author_sort Li, Y
title Expandable-RCNN: toward high-efficiency incremental few-shot object detection
title_short Expandable-RCNN: toward high-efficiency incremental few-shot object detection
title_full Expandable-RCNN: toward high-efficiency incremental few-shot object detection
title_fullStr Expandable-RCNN: toward high-efficiency incremental few-shot object detection
title_full_unstemmed Expandable-RCNN: toward high-efficiency incremental few-shot object detection
title_sort expandable-rcnn: toward high-efficiency incremental few-shot object detection
publisher Frontiers Media SA
publishDate 2024
url https://scholarbank.nus.edu.sg/handle/10635/248842
_version_ 1821181987488006144

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