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2311.11570
Cited By
Decoupled DETR For Few-shot Object Detection
20 November 2023
Zeyu Shangguan
Lian Huai
Tong Liu
Xingqun Jiang
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Papers citing
"Decoupled DETR For Few-shot Object Detection"
9 / 9 papers shown
Title
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
Adrian Bulat
Ricardo Guerrero
Brais Martínez
Georgios Tzimiropoulos
26
30
0
10 Oct 2022
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
DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR
Shilong Liu
Feng Li
Hao Zhang
X. Yang
Xianbiao Qi
Hang Su
Jun Zhu
Lei Zhang
ViT
132
703
0
28 Jan 2022
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
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
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
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
229
74,467
0
18 May 2015
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