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A Survey of Deep Learning for Low-Shot Object Detection

A Survey of Deep Learning for Low-Shot Object Detection

6 December 2021
Qihan Huang
Haofei Zhang
Mengqi Xue
Jie Song
Mingli Song
    ObjD
ArXivPDFHTML

Papers citing "A Survey of Deep Learning for Low-Shot Object Detection"

17 / 17 papers shown
Title
ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation
ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation
Moon Ye-Bin
D. Choi
Y. Kwon
Junsik Kim
Tae-Hyun Oh
ISeg
17
6
0
20 Feb 2023
CD-FSOD: A Benchmark for Cross-domain Few-shot Object Detection
CD-FSOD: A Benchmark for Cross-domain Few-shot Object Detection
Wuti Xiong
53
13
0
11 Oct 2022
FS-DETR: Few-Shot DEtection TRansformer with prompting and without
  re-training
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
Exploring Effective Knowledge Transfer for Few-shot Object Detection
Exploring Effective Knowledge Transfer for Few-shot Object Detection
Zhiyuan Zhao
Qingjie Liu
Yunhong Wang
19
8
0
05 Oct 2022
AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection
AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection
Yipeng Gao
Lingxiao Yang
Yunmu Huang
Song Xie
Shiyong Li
Weihao Zheng
ObjD
34
19
0
22 Sep 2022
Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual
  Object Detection
Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection
Feng Liu
Xiaosong Zhang
Zhiliang Peng
Zonghao Guo
Fang Wan
Xian-Wei Ji
QiXiang Ye
ObjD
40
20
0
19 May 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
Zero-shot Object Detection Through Vision-Language Embedding Alignment
Zero-shot Object Detection Through Vision-Language Embedding Alignment
Johnathan Xie
Shuai Zheng
VLM
ObjD
36
8
0
24 Sep 2021
Semantics-Guided Contrastive Network for Zero-Shot Object detection
Semantics-Guided Contrastive Network for Zero-Shot Object detection
Caixia Yan
Xiao Chang
Minnan Luo
Huan Liu
Xiaoqin Zhang
Qinghua Zheng
ObjD
VLM
59
59
0
04 Sep 2021
Hallucination Improves Few-Shot Object Detection
Hallucination Improves Few-Shot Object Detection
Weilin Zhang
Yu-xiong Wang
ObjD
48
98
0
04 May 2021
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection
Chenchen Zhu
Fangyi Chen
Uzair Ahmed
Zhiqiang Shen
Marios Savvides
ObjD
65
154
0
02 Mar 2021
Universal-Prototype Enhancing for Few-Shot Object Detection
Universal-Prototype Enhancing for Few-Shot Object Detection
Aming Wu
Yahong Han
Linchao Zhu
Yi Yang
ObjD
26
83
0
01 Mar 2021
Free Lunch for Few-shot Learning: Distribution Calibration
Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang
Lu Liu
Min Xu
OODD
193
316
0
16 Jan 2021
Synthesizing the Unseen for Zero-shot Object Detection
Synthesizing the Unseen for Zero-shot Object Detection
Nasir Hayat
Munawar Hayat
Shafin Rahman
Salman Khan
Syed Waqas Zamir
F. Khan
VLM
ObjD
155
57
0
19 Oct 2020
Frustratingly Simple Few-Shot Object Detection
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
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
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
29,632
0
16 Jan 2013
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