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Abnormal activity capture from passenger flow of elevator based on
  unsupervised learning and fine-grained multi-label recognition

Abnormal activity capture from passenger flow of elevator based on unsupervised learning and fine-grained multi-label recognition

29 June 2020
Chunhua Jia
Wenhai Yi
Yu Wu
Hui Huang
Lei Zhang
Leilei Wu
ArXivPDFHTML

Papers citing "Abnormal activity capture from passenger flow of elevator based on unsupervised learning and fine-grained multi-label recognition"

4 / 4 papers shown
Title
YOLACT: Real-time Instance Segmentation
YOLACT: Real-time Instance Segmentation
Daniel Bolya
Chong Zhou
Fanyi Xiao
Yong Jae Lee
SSeg
VLM
ISeg
116
1,667
0
04 Apr 2019
Soft Weight-Sharing for Neural Network Compression
Soft Weight-Sharing for Neural Network Compression
Karen Ullrich
Edward Meeds
Max Welling
156
417
0
13 Feb 2017
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
243
8,821
0
01 Oct 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
344
13,123
0
12 Mar 2015
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