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Few-Shot Object Detection with Proposal Balance Refinement

Few-Shot Object Detection with Proposal Balance Refinement

22 April 2022
Sueyeon Kim
Woo-Jeoung Nam
Seong-Whan Lee
    ObjD
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Papers citing "Few-Shot Object Detection with Proposal Balance Refinement"

8 / 8 papers shown
Title
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
239
2,554
0
04 May 2021
Hallucination Improves Few-Shot Object Detection
Hallucination Improves Few-Shot Object Detection
Weilin Zhang
Yu-xiong Wang
ObjD
48
98
0
04 May 2021
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection
Chenchen Zhu
Fangyi Chen
Uzair Ahmed
Zhiqiang Shen
Marios Savvides
ObjD
65
154
0
02 Mar 2021
Human Interaction Recognition Framework based on Interacting Body Part
  Attention
Human Interaction Recognition Framework based on Interacting Body Part Attention
Dong-Gyu Lee
Seong-Whan Lee
46
25
0
22 Jan 2021
SCNet: Training Inference Sample Consistency for Instance Segmentation
SCNet: Training Inference Sample Consistency for Instance Segmentation
Thang Vu
Haeyong Kang
Chang-Dong Yoo
ISeg
39
89
0
18 Dec 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
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
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
234
11,568
0
09 Mar 2017
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