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Incremental Few-Shot Object Detection

Incremental Few-Shot Object Detection

10 March 2020
Juan-Manuel Perez-Rua
Xiatian Zhu
Timothy M. Hospedales
Tao Xiang
    ObjD
    CLL
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Papers citing "Incremental Few-Shot Object Detection"

40 / 40 papers shown
Title
Open World Object Detection: A Survey
Open World Object Detection: A Survey
Yiming Li
Yi Wang
Wenqian Wang
Dan Lin
Bingbing Li
Kim-Hui Yap
ObjD
39
0
0
15 Oct 2024
Can OOD Object Detectors Learn from Foundation Models?
Can OOD Object Detectors Learn from Foundation Models?
Jiahui Liu
Xin Wen
Shizhen Zhao
Y. Chen
Xiaojuan Qi
OODD
38
2
0
08 Sep 2024
A Comprehensive Review of Few-shot Action Recognition
A Comprehensive Review of Few-shot Action Recognition
Yuyang Wanyan
Xiaoshan Yang
Weiming Dong
Changsheng Xu
VLM
65
3
0
20 Jul 2024
Is Meta-Learning the Right Approach for the Cold-Start Problem in
  Recommender Systems?
Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems?
Davide Buffelli
Ashish Gupta
Agnieszka Strzalka
Vassilis Plachouras
OffRL
LRM
24
1
0
16 Aug 2023
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio
  Detection
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection
Xiaohui Zhang
Jiangyan Yi
J. Tao
Chenglong Wang
Chuyuan Zhang
CLL
34
22
0
07 Aug 2023
Density Map Distillation for Incremental Object Counting
Density Map Distillation for Incremental Object Counting
Chenshen Wu
Joost van de Weijer
18
2
0
11 Apr 2023
Generating Features with Increased Crop-related Diversity for Few-Shot
  Object Detection
Generating Features with Increased Crop-related Diversity for Few-Shot Object Detection
Jingyi Xu
Hieu M. Le
Dimitris Samaras
ObjD
15
26
0
11 Apr 2023
Meta-Learning with a Geometry-Adaptive Preconditioner
Meta-Learning with a Geometry-Adaptive Preconditioner
Suhyun Kang
Duhun Hwang
Moonjung Eo
Taesup Kim
Wonjong Rhee
AI4CE
22
15
0
04 Apr 2023
MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model
  for Few-Shot Instance Segmentation
MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation
Minh-Quan Le
Tam V. Nguyen
Trung-Nghia Le
Thanh-Toan Do
Minh N. Do
M. Tran
DiffM
45
13
0
09 Mar 2023
Incremental Few-Shot Object Detection via Simple Fine-Tuning Approach
Incremental Few-Shot Object Detection via Simple Fine-Tuning Approach
Taehyean Choi
Jong-Hwan Kim
ObjD
22
6
0
20 Feb 2023
EgoLoc: Revisiting 3D Object Localization from Egocentric Videos with
  Visual Queries
EgoLoc: Revisiting 3D Object Localization from Egocentric Videos with Visual Queries
Jinjie Mai
Abdullah Hamdi
Silvio Giancola
Chen Zhao
Bernard Ghanem
EgoV
25
14
0
14 Dec 2022
Fast Hierarchical Learning for Few-Shot Object Detection
Fast Hierarchical Learning for Few-Shot Object Detection
Yihang She
Goutam Bhat
Martin Danelljan
F. I. F. Richard Yu
ObjD
17
1
0
10 Oct 2022
Robotic Interestingness via Human-Informed Few-Shot Object Detection
Robotic Interestingness via Human-Informed Few-Shot Object Detection
Seungchan Kim
Chen Wang
Bowen Li
S. Scherer
8
4
0
01 Aug 2022
Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation
  Exploitation
Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation
Gongjie Zhang
Zhipeng Luo
Kaiwen Cui
Shijian Lu
Eric P. Xing
ViT
41
93
0
30 Jul 2022
UC-OWOD: Unknown-Classified Open World Object Detection
UC-OWOD: Unknown-Classified Open World Object Detection
Zhi-zong Wu
Yue Lu
Xingyu Chen
Zhengxing Wu
Liwen Kang
Junzhi Yu
17
55
0
23 Jul 2022
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot
  Object Detection
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection
Karim Guirguis
Ahmed Hendawy
George Eskandar
Mohamed Abdelsamad
Matthias Kayser
Jürgen Beyerer
19
15
0
11 Apr 2022
Overcoming Catastrophic Forgetting in Incremental Object Detection via
  Elastic Response Distillation
Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation
Tao Feng
Mang Wang
Hangjie Yuan
ObjD
CLL
18
84
0
05 Apr 2022
Incremental Few-Shot Learning via Implanting and Compressing
Incremental Few-Shot Learning via Implanting and Compressing
Yiting Li
H. Zhu
Xijia Feng
Zilong Cheng
Jun Ma
Cheng Xiang
P. Vadakkepat
T. Lee
CLL
VLM
19
2
0
19 Mar 2022
Semantic-aligned Fusion Transformer for One-shot Object Detection
Semantic-aligned Fusion Transformer for One-shot Object Detection
Yizhou Zhao
Xun Guo
Yan Lu
ViT
ObjD
20
21
0
17 Mar 2022
Accelerating DETR Convergence via Semantic-Aligned Matching
Accelerating DETR Convergence via Semantic-Aligned Matching
Gongjie Zhang
Zhipeng Luo
Yingchen Yu
Kaiwen Cui
Shijian Lu
ViT
45
100
0
14 Mar 2022
Unknown-Aware Object Detection: Learning What You Don't Know from Videos
  in the Wild
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild
Xuefeng Du
Xin Eric Wang
Gabriel Gozum
Yixuan Li
OODD
34
90
0
08 Mar 2022
InCloud: Incremental Learning for Point Cloud Place Recognition
InCloud: Incremental Learning for Point Cloud Place Recognition
Joshua Knights
Peyman Moghadam
Milad Ramezani
S. Sridharan
Clinton Fookes
3DPC
25
27
0
02 Mar 2022
Mobile Robot Manipulation using Pure Object Detection
Mobile Robot Manipulation using Pure Object Detection
Brent A. Griffin
34
7
0
28 Jan 2022
Contrastive Object Detection Using Knowledge Graph Embeddings
Contrastive Object Detection Using Knowledge Graph Embeddings
Christopher Lang
Alexander Braun
Abhinav Valada
13
8
0
21 Dec 2021
Query Adaptive Few-Shot Object Detection with Heterogeneous Graph
  Convolutional Networks
Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks
G. Han
Yicheng He
Shiyuan Huang
Jiawei Ma
Shih-Fu Chang
ObjD
22
102
0
17 Dec 2021
Morphable Detector for Object Detection on Demand
Morphable Detector for Object Detection on Demand
Xiangyun Zhao
Xu Zou
Ying Nian Wu
ObjD
24
4
0
10 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu
Hossein Rahmani
Li Xu
Bryan M. Williams
Jun Liu
VLM
CLL
23
73
0
23 Sep 2021
Towards Generalized and Incremental Few-Shot Object Detection
Towards Generalized and Incremental Few-Shot Object Detection
Yiting Li
H. Zhu
Jun Ma
C. Teo
Chen Xiang
P. Vadakkepat
T. Lee
CLL
ObjD
13
9
0
23 Sep 2021
Few-Shot Batch Incremental Road Object Detection via Detector Fusion
Few-Shot Batch Incremental Road Object Detection via Detector Fusion
Anuj Tambwekar
Kshitij Agrawal
Anay Majee
A. Subramanian
ObjD
11
5
0
18 Aug 2021
DIODE: Dilatable Incremental Object Detection
DIODE: Dilatable Incremental Object Detection
Can Peng
Kun-li Zhao
Sam Maksoud
Tianren Wang
Brian C. Lovell
CLL
ObjD
25
9
0
12 Aug 2021
Multi-View Correlation Distillation for Incremental Object Detection
Multi-View Correlation Distillation for Incremental Object Detection
Dongbao Yang
Yu Zhou
Weiping Wang
22
59
0
05 Jul 2021
Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate
  Prediction
Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction
W. Ouyang
Xiuwu Zhang
Shukui Ren
Li Li
Kun Zhang
Jinmei Luo
Zhaojie Liu
Yanlong Du
23
45
0
19 May 2021
When Few-Shot Learning Meets Video Object Detection
When Few-Shot Learning Meets Video Object Detection
Zhongjie Yu
Gaoang Wang
Lin Chen
S. Raschka
Jiebo Luo
ObjD
30
1
0
26 Mar 2021
Domain Generalization: A Survey
Domain Generalization: A Survey
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
OOD
AI4CE
63
980
0
03 Mar 2021
Dual-Awareness Attention for Few-Shot Object Detection
Dual-Awareness Attention for Few-Shot Object Detection
Tung-I Chen
Yueh-Cheng Liu
Hung-Ting Su
Yu-Cheng Chang
Yu-Hsiang Lin
Jia-Fong Yeh
Wen-Chin Chen
Winston H. Hsu
ObjD
25
96
0
24 Feb 2021
Class-agnostic Object Detection
Class-agnostic Object Detection
Ayush Jaiswal
Yue Wu
P. Natarajan
Premkumar Natarajan
ObjD
33
31
0
28 Nov 2020
Mixture-based Feature Space Learning for Few-shot Image Classification
Mixture-based Feature Space Learning for Few-shot Image Classification
Arman Afrasiyabi
Jean-François Lalonde
Christian Gagné
VLM
13
70
0
24 Nov 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
38
1,926
0
11 Apr 2020
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning
Xiaopeng Yan
Ziliang Chen
Anni Xu
Xiaoxi Wang
Xiaodan Liang
Liang Lin
ObjD
160
446
0
28 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
311
11,681
0
09 Mar 2017
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