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One-Shot Object Detection without Fine-Tuning

One-Shot Object Detection without Fine-Tuning

8 May 2020
Xiang Li
Lin Zhang
Yau Pun Chen
Yu-Wing Tai
Chi-Keung Tang
    ObjD
    VLM
ArXivPDFHTML

Papers citing "One-Shot Object Detection without Fine-Tuning"

7 / 7 papers shown
Title
Joint Neural Networks for One-shot Object Recognition and Detection
Joint Neural Networks for One-shot Object Recognition and Detection
Camilo Vargas
Qianni Zhang
E. Izquierdo
ObjD
VLM
46
0
0
01 Aug 2024
Detect Everything with Few Examples
Detect Everything with Few Examples
Xinyu Zhang
Yuting Wang
Abdeslam Boularias
ObjD
VLM
32
13
0
22 Sep 2023
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
24
3
0
25 Oct 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
31
2
0
06 Jan 2022
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
19
15
0
30 Oct 2021
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
362
11,700
0
09 Mar 2017
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