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LapNet : Automatic Balanced Loss and Optimal Assignment for Real-Time
  Dense Object Detection

LapNet : Automatic Balanced Loss and Optimal Assignment for Real-Time Dense Object Detection

4 November 2019
Florian Chabot
Q. C. Pham
Mohamed Chaouch
    ObjD
ArXivPDFHTML

Papers citing "LapNet : Automatic Balanced Loss and Optimal Assignment for Real-Time Dense Object Detection"

2 / 2 papers shown
Title
A Ranking-based, Balanced Loss Function Unifying Classification and
  Localisation in Object Detection
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection
Kemal Oksuz
Baris Can Cam
Emre Akbas
Sinan Kalkan
33
42
0
28 Sep 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,645
0
02 Nov 2015
1