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Recent Few-Shot Object Detection Algorithms: A Survey with Performance Comparison
27 March 2022
Tianying Liu
Lu Zhang
Yang Wang
Jihong Guan
Yanwei Fu
Jiajia Zhao
Shuigeng Zhou
ObjD
AAML
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Papers citing
"Recent Few-Shot Object Detection Algorithms: A Survey with Performance Comparison"
11 / 11 papers shown
Title
Few-Shot Object Detection: Research Advances and Challenges
Zhimeng Xin
Shiming Chen
Tianxu Wu
Yuanjie Shao
Weiping Ding
Xinge You
ObjD
16
23
0
07 Apr 2024
FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training
Adrian Bulat
Ricardo Guerrero
Brais Martínez
Georgios Tzimiropoulos
26
30
0
10 Oct 2022
Hierarchical Few-Shot Object Detection: Problem, Benchmark and Method
Lu Zhang
Yang Wang
Jiaogen Zhou
Chenbo Zhang
Yinglu Zhang
Jihong Guan
Yatao Bian
Shuigeng Zhou
24
9
0
08 Oct 2022
A Survey of Deep Learning for Low-Shot Object Detection
Qihan Huang
Haofei Zhang
Mengqi Xue
Jie Song
Mingli Song
ObjD
30
18
0
06 Dec 2021
Hallucination Improves Few-Shot Object Detection
Weilin Zhang
Yu-xiong Wang
ObjD
48
98
0
04 May 2021
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection
Chenchen Zhu
Fangyi Chen
Uzair Ahmed
Zhiqiang Shen
Marios Savvides
ObjD
65
177
0
02 Mar 2021
Universal-Prototype Enhancing for Few-Shot Object Detection
Aming Wu
Yahong Han
Linchao Zhu
Yi Yang
ObjD
26
83
0
01 Mar 2021
Frustratingly Simple Few-Shot Object Detection
Xin Wang
Thomas E. Huang
Trevor Darrell
Joseph E. Gonzalez
F. I. F. Richard Yu
ObjD
75
535
0
16 Mar 2020
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
151
440
0
28 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
237
11,568
0
09 Mar 2017
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