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MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for
  Efficient Object Detection

MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for Efficient Object Detection

6 September 2018
Wenchi Ma
Yuanwei Wu
Zongbo Wang
Guanghui Wang
    ObjD
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Papers citing "MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for Efficient Object Detection"

4 / 4 papers shown
Title
Panoptic Segmentation: A Review
Panoptic Segmentation: A Review
O. Elharrouss
S. Al-Maadeed
Nandhini Subramanian
Najmath Ottakath
Noor Almaadeed
Yassine Himeur
25
38
0
19 Nov 2021
Why Layer-Wise Learning is Hard to Scale-up and a Possible Solution via
  Accelerated Downsampling
Why Layer-Wise Learning is Hard to Scale-up and a Possible Solution via Accelerated Downsampling
Wenchi Ma
Miao Yu
Kaidong Li
Guanghui Wang
17
5
0
15 Oct 2020
Adaptively Denoising Proposal Collection for Weakly Supervised Object
  Localization
Adaptively Denoising Proposal Collection for Weakly Supervised Object Localization
Dianbo Liu
Yuanwei Wu
Wenchi Ma
Guanghui Wang
28
13
0
04 Oct 2019
Toward Learning a Unified Many-to-Many Mapping for Diverse Image
  Translation
Toward Learning a Unified Many-to-Many Mapping for Diverse Image Translation
Wenju Xu
Shawn Keshmiri
Guanghui Wang
GAN
33
53
0
21 May 2019
1