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Restoring Negative Information in Few-Shot Object Detection

Restoring Negative Information in Few-Shot Object Detection

22 October 2020
Yukuan Yang
Fangyun Wei
Miaojing Shi
Guoqi Li
    ObjD
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Papers citing "Restoring Negative Information in Few-Shot Object Detection"

18 / 18 papers shown
Title
GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object
  Detection
GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection
Hefei Mei
Taijin Zhao
Shiyuan Tang
Heqian Qiu
Lanxiao Wang
Minjian Zhang
Fanman Meng
Hongliang Li
ObjD
34
1
0
27 Dec 2023
Rethinking Intersection Over Union for Small Object Detection in
  Few-Shot Regime
Rethinking Intersection Over Union for Small Object Detection in Few-Shot Regime
Pierre Le Jeune
Anissa Zergaïnoh-Mokraoui
ObjD
19
6
0
17 Jul 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
25
26
0
11 Apr 2023
Few-shot Object Detection with Refined Contrastive Learning
Few-shot Object Detection with Refined Contrastive Learning
Zeyu Shangguan
Lian Huai
Tong Liu
Xingqun Jiang
27
7
0
24 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
40
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
24
3
0
25 Oct 2022
Learning Cross-Image Object Semantic Relation in Transformer for
  Few-Shot Fine-Grained Image Classification
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification
Bo Zhang
Jiakang Yuan
Baopu Li
Tao Chen
Jiayuan Fan
Botian Shi
ViT
31
31
0
02 Jul 2022
Few-Shot Object Detection with Proposal Balance Refinement
Few-Shot Object Detection with Proposal Balance Refinement
Sueyeon Kim
Woo-Jeoung Nam
Seong-Whan Lee
ObjD
30
3
0
22 Apr 2022
Learning to Prompt for Open-Vocabulary Object Detection with
  Vision-Language Model
Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model
Yu Du
Fangyun Wei
Zihe Zhang
Miaojing Shi
Yue Gao
Guoqi Li
VPVLM
VLM
31
323
0
28 Mar 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
38
103
0
17 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
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric
  Learning
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning
Miao Zhang
Miaojing Shi
Li Li
VLM
49
20
0
30 Oct 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
24
15
0
30 Oct 2021
Few-Shot Object Detection by Attending to Per-Sample-Prototype
Few-Shot Object Detection by Attending to Per-Sample-Prototype
Hojun Lee
Myunggi Lee
Nojun Kwak
ObjD
33
30
0
16 Sep 2021
Hallucination Improves Few-Shot Object Detection
Hallucination Improves Few-Shot Object Detection
Weilin Zhang
Yu-xiong Wang
ObjD
57
110
0
04 May 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
177
446
0
28 Sep 2019
Delta-encoder: an effective sample synthesis method for few-shot object
  recognition
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Eli Schwartz
Leonid Karlinsky
J. Shtok
Sivan Harary
Mattias Marder
Rogerio Feris
Abhishek Kumar
Raja Giryes
A. Bronstein
192
351
0
12 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
466
11,715
0
09 Mar 2017
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