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Rethinking the Misalignment Problem in Dense Object Detection

Rethinking the Misalignment Problem in Dense Object Detection

27 August 2021
Yang Yang
Min Li
Bo Meng
Junxing Ren
Degang Sun
Zihao Huang
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Papers citing "Rethinking the Misalignment Problem in Dense Object Detection"

5 / 5 papers shown
Title
Student Helping Teacher: Teacher Evolution via Self-Knowledge
  Distillation
Student Helping Teacher: Teacher Evolution via Self-Knowledge Distillation
Zheng Li
Xiang Li
Lingfeng Yang
Jian Yang
Zhigeng Pan
26
2
0
01 Oct 2021
LGD: Label-guided Self-distillation for Object Detection
LGD: Label-guided Self-distillation for Object Detection
Peizhen Zhang
Zijian Kang
Tong Yang
Xinming Zhang
N. Zheng
Jian Sun
ObjD
106
30
0
23 Sep 2021
BorderDet: Border Feature for Dense Object Detection
BorderDet: Border Feature for Dense Object Detection
Han Qiu
Yuchen Ma
Zeming Li
Songtao Liu
Jian Sun
ObjD
90
124
0
21 Jul 2020
Revisiting the Sibling Head in Object Detector
Revisiting the Sibling Head in Object Detector
Guanglu Song
Yu Liu
Xiaogang Wang
ObjD
181
348
0
17 Mar 2020
How Much Position Information Do Convolutional Neural Networks Encode?
How Much Position Information Do Convolutional Neural Networks Encode?
Md. Amirul Islam
Sen Jia
Neil D. B. Bruce
SSL
205
344
0
22 Jan 2020
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