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Transformation-Invariant Network for Few-Shot Object Detection in Remote
  Sensing Images

Transformation-Invariant Network for Few-Shot Object Detection in Remote Sensing Images

13 March 2023
Nanqing Liu
Xun Xu
Turgay Celik
Zongxin Gan
Hengchao Li
ArXivPDFHTML

Papers citing "Transformation-Invariant Network for Few-Shot Object Detection in Remote Sensing Images"

5 / 5 papers shown
Title
PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images
PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images
Nanqing Liu
Xun Xu
Yongyi Su
Haojie Zhang
Heng-Chao Li
VLM
30
14
0
20 Sep 2024
Efficient Meta-Learning Enabled Lightweight Multiscale Few-Shot Object
  Detection in Remote Sensing Images
Efficient Meta-Learning Enabled Lightweight Multiscale Few-Shot Object Detection in Remote Sensing Images
Wenbin Guan
Zijiu Yang
Xiaohong Wu
Liqiong Chen
Feng Huang
Xiaohai He
Honggang Chen
21
2
0
29 Apr 2024
SemiCurv: Semi-Supervised Curvilinear Structure Segmentation
SemiCurv: Semi-Supervised Curvilinear Structure Segmentation
Xun Xu
M. Nguyen
Yasin Yazici
Kangkang Lu
Hlaing Min
Chuan-Sheng Foo
19
13
0
18 May 2022
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
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