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Context-Transformer: Tackling Object Confusion for Few-Shot Detection

Context-Transformer: Tackling Object Confusion for Few-Shot Detection

16 March 2020
Ze Yang
Yali Wang
Xianyu Chen
Jianzhuang Liu
Yu Qiao
    ViT
ArXivPDFHTML

Papers citing "Context-Transformer: Tackling Object Confusion for Few-Shot Detection"

13 / 13 papers shown
Title
Context in object detection: a systematic literature review
Context in object detection: a systematic literature review
Mahtab Jamali
Paul Davidsson
Reza Khoshkangini
Martin Georg Ljungqvist
Radu-Casian Mihailescu
ObjD
44
0
0
29 Mar 2025
Few-Shot Object Detection: Research Advances and Challenges
Few-Shot Object Detection: Research Advances and Challenges
Zhimeng Xin
Shiming Chen
Tianxu Wu
Yuanjie Shao
Weiping Ding
Xinge You
ObjD
42
24
0
07 Apr 2024
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
25
26
0
11 Apr 2023
ShadowFormer: Global Context Helps Image Shadow Removal
ShadowFormer: Global Context Helps Image Shadow Removal
Lanqing Guo
Siyu Huang
Dingshuo Liu
Hao Cheng
Bihan Wen
ViT
54
45
0
03 Feb 2023
Breaking Immutable: Information-Coupled Prototype Elaboration for
  Few-Shot Object Detection
Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection
Xiaonan Lu
Wenhui Diao
Yongqiang Mao
Junxi Li
Peijin Wang
Xian Sun
Kun Fu
ObjD
39
33
0
27 Nov 2022
Label, Verify, Correct: A Simple Few Shot Object Detection Method
Label, Verify, Correct: A Simple Few Shot Object Detection Method
Prannay Kaul
Weidi Xie
Andrew Zisserman
ObjD
20
81
0
10 Dec 2021
Few-Shot Object Detection via Association and DIscrimination
Few-Shot Object Detection via Association and DIscrimination
Yuhang Cao
Jiaqi Wang
Ying Jin
Tong Wu
Kai-xiang Chen
Ziwei Liu
Dahua Lin
ObjD
29
82
0
23 Nov 2021
A Comparative Review of Recent Few-Shot Object Detection Algorithms
A Comparative Review of Recent Few-Shot Object Detection Algorithms
Jiaxu Leng
Taiyue Chen
Gao Xinbo
Yongtao Yu
Ye Wang
Feng Gao
Wang Yue
ObjD
21
15
0
30 Oct 2021
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection
Limeng Qiao
Yuxuan Zhao
Zhiyuan Li
Xi Qiu
Jianan Wu
Chi Zhang
ObjD
30
197
0
20 Aug 2021
Multi-View Correlation Distillation for Incremental Object Detection
Multi-View Correlation Distillation for Incremental Object Detection
Dongbao Yang
Yu Zhou
Weiping Wang
32
59
0
05 Jul 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
41
84
0
01 Mar 2021
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCV
BDL
228
498
0
11 Jun 2018
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
460
11,715
0
09 Mar 2017
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