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Multi-Scale Positive Sample Refinement for Few-Shot Object Detection

Multi-Scale Positive Sample Refinement for Few-Shot Object Detection

18 July 2020
Jiaxi Wu
Songtao Liu
Di Huang
Yunhong Wang
    ObjD
ArXivPDFHTML

Papers citing "Multi-Scale Positive Sample Refinement for Few-Shot Object Detection"

38 / 38 papers shown
Title
UniFS: Universal Few-shot Instance Perception with Point Representations
UniFS: Universal Few-shot Instance Perception with Point Representations
Sheng Jin
Ruijie Yao
Lumin Xu
Wentao Liu
Chao Qian
Ji Wu
Ping Luo
48
2
0
30 Apr 2024
ECEA: Extensible Co-Existing Attention for Few-Shot Object Detection
ECEA: Extensible Co-Existing Attention for Few-Shot Object Detection
Zhimeng Xin
Tianxu Wu
Shiming Chen
Yixiong Zou
Ling Shao
Xinge You
34
4
0
15 Sep 2023
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
15
26
0
11 Apr 2023
Explore the Power of Synthetic Data on Few-shot Object Detection
Explore the Power of Synthetic Data on Few-shot Object Detection
Shaobo Lin
Kun Wang
Xingyu Zeng
Ruili Zhao
27
32
0
23 Mar 2023
Transformation-Invariant Network for Few-Shot Object Detection in Remote
  Sensing Images
Transformation-Invariant Network for Few-Shot Object Detection in Remote Sensing Images
Nanqing Liu
Xun Xu
Turgay Celik
Zongxin Gan
Hengchao Li
30
26
0
13 Mar 2023
Incremental Few-Shot Object Detection via Simple Fine-Tuning Approach
Incremental Few-Shot Object Detection via Simple Fine-Tuning Approach
Taehyean Choi
Jong-Hwan Kim
ObjD
22
6
0
20 Feb 2023
Explore the Power of Dropout on Few-shot Learning
Explore the Power of Dropout on Few-shot Learning
Shaobo Lin
Xingyu Zeng
Rui Zhao
30
0
0
26 Jan 2023
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance
  Segmentation
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation
Yue Han
Jiangning Zhang
Zhucun Xue
Chao Xu
Xintian Shen
Yabiao Wang
Chengjie Wang
Yong Liu
Xiangtai Li
29
17
0
03 Jan 2023
Proposal Distribution Calibration for Few-Shot Object Detection
Proposal Distribution Calibration for Few-Shot Object Detection
Bohao Li
Chang-rui Liu
Mengnan Shi
Xiaozhong Chen
Xiang Ji
QiXiang Ye
ObjD
19
5
0
15 Dec 2022
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
27
33
0
27 Nov 2022
Few-shot Object Detection with Refined Contrastive Learning
Few-shot Object Detection with Refined Contrastive Learning
Zeyu Shangguan
Lian Huai
Tong Liu
Xingqun Jiang
17
7
0
24 Nov 2022
Spatial Reasoning for Few-Shot Object Detection
Spatial Reasoning for Few-Shot Object Detection
Geonuk Kim
Ho-Choul Jung
Seong-Whan Lee
ObjD
25
33
0
02 Nov 2022
Time-rEversed diffusioN tEnsor Transformer: A new TENET of Few-Shot
  Object Detection
Time-rEversed diffusioN tEnsor Transformer: A new TENET of Few-Shot Object Detection
Shan Zhang
Naila Murray
Lei Wang
Piotr Koniusz
ViT
27
16
0
30 Oct 2022
A Comparative Attention Framework for Better Few-Shot Object Detection
  on Aerial Images
A Comparative Attention Framework for Better Few-Shot Object Detection on Aerial Images
Pierre Le Jeune
Anissa Zergaïnoh-Mokraoui
ObjD
11
3
0
25 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
37
30
0
10 Oct 2022
Disentangle and Remerge: Interventional Knowledge Distillation for
  Few-Shot Object Detection from A Conditional Causal Perspective
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal Perspective
Jiangmeng Li
Yanan Zhang
Wenwen Qiang
Lingyu Si
Chengbo Jiao
Xiaohui Hu
Changwen Zheng
Fuchun Sun
CML
34
28
0
26 Aug 2022
Robotic Interestingness via Human-Informed Few-Shot Object Detection
Robotic Interestingness via Human-Informed Few-Shot Object Detection
Seungchan Kim
Chen Wang
Bowen Li
S. Scherer
6
4
0
01 Aug 2022
Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation
  Exploitation
Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation
Gongjie Zhang
Zhipeng Luo
Kaiwen Cui
Shijian Lu
Eric P. Xing
ViT
38
93
0
30 Jul 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications,
  Challenges, and Opportunities
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
41
342
0
13 May 2022
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot
  Object Detection
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection
Karim Guirguis
Ahmed Hendawy
George Eskandar
Mohamed Abdelsamad
Matthias Kayser
Jürgen Beyerer
19
15
0
11 Apr 2022
Few-Shot Object Detection with Fully Cross-Transformer
Few-Shot Object Detection with Fully Cross-Transformer
G. Han
Jiawei Ma
Shiyuan Huang
Long Chen
Shih-Fu Chang
10
129
0
28 Mar 2022
Real-time Object Detection for Streaming Perception
Real-time Object Detection for Streaming Perception
Jinrong Yang
Songtao Liu
Zeming Li
Xiaoping Li
Jian-jun Sun
24
46
0
23 Mar 2022
Semantic-aligned Fusion Transformer for One-shot Object Detection
Semantic-aligned Fusion Transformer for One-shot Object Detection
Yizhou Zhao
Xun Guo
Yan Lu
ViT
ObjD
20
21
0
17 Mar 2022
A Unified Framework for Attention-Based Few-Shot Object Detection
A Unified Framework for Attention-Based Few-Shot Object Detection
Pierre Le Jeune
Anissa Zergaïnoh-Mokraoui
ObjD
24
2
0
06 Jan 2022
Query Adaptive Few-Shot Object Detection with Heterogeneous Graph
  Convolutional Networks
Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks
G. Han
Yicheng He
Shiyuan Huang
Jiawei Ma
Shih-Fu Chang
ObjD
19
102
0
17 Dec 2021
AirDet: Few-Shot Detection without Fine-tuning for Autonomous
  Exploration
AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration
Bowen Li
Chen Wang
Pranay Reddy
Seungchan Kim
S. Scherer
ViT
13
25
0
03 Dec 2021
LARGE: Latent-Based Regression through GAN Semantics
LARGE: Latent-Based Regression through GAN Semantics
Yotam Nitzan
Rinon Gal
Ofir Brenner
Daniel Cohen-Or
GAN
27
26
0
22 Jul 2021
Hallucination Improves Few-Shot Object Detection
Hallucination Improves Few-Shot Object Detection
Weilin Zhang
Yu-xiong Wang
ObjD
55
109
0
04 May 2021
Dense Relation Distillation with Context-aware Aggregation for Few-Shot
  Object Detection
Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection
Hanzhe Hu
Shuai Bai
Aoxue Li
J. Cui
Liwei Wang
ObjD
19
154
0
30 Mar 2021
Factors of Influence for Transfer Learning across Diverse Appearance
  Domains and Task Types
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types
Thomas Mensink
J. Uijlings
Alina Kuznetsova
Michael Gygli
V. Ferrari
VLM
32
80
0
24 Mar 2021
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
Bo Sun
Banghuai Li
Shengcai Cai
Ye Yuan
Chi Zhang
31
370
0
10 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
84
0
01 Mar 2021
Dual-Awareness Attention for Few-Shot Object Detection
Dual-Awareness Attention for Few-Shot Object Detection
Tung-I Chen
Yueh-Cheng Liu
Hung-Ting Su
Yu-Cheng Chang
Yu-Hsiang Lin
Jia-Fong Yeh
Wen-Chin Chen
Winston H. Hsu
ObjD
25
96
0
24 Feb 2021
Class-agnostic Object Detection
Class-agnostic Object Detection
Ayush Jaiswal
Yue Wu
P. Natarajan
Premkumar Natarajan
ObjD
33
31
0
28 Nov 2020
Few-Shot Object Detection and Viewpoint Estimation for Objects in the
  Wild
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild
Yang Xiao
Vincent Lepetit
Renaud Marlet
3DPC
27
314
0
23 Jul 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
77
544
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
160
446
0
28 Sep 2019
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
284
11,681
0
09 Mar 2017
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