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A Novel Incremental Learning Driven Instance Segmentation Framework to
  Recognize Highly Cluttered Instances of the Contraband Items

A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items

7 January 2022
Taimur Hassan
S. Akçay
Bennamoun
Salman Khan
N. Werghi
ArXivPDFHTML

Papers citing "A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items"

3 / 3 papers shown
Title
Unsupervised Anomaly Instance Segmentation for Baggage Threat
  Recognition
Unsupervised Anomaly Instance Segmentation for Baggage Threat Recognition
Taimur Hassan
S. Akçay
Bennamoun
Salman Khan
N. Werghi
13
33
0
15 Jul 2021
SIP-SegNet: A Deep Convolutional Encoder-Decoder Network for Joint
  Semantic Segmentation and Extraction of Sclera, Iris and Pupil based on
  Periocular Region Suppression
SIP-SegNet: A Deep Convolutional Encoder-Decoder Network for Joint Semantic Segmentation and Extraction of Sclera, Iris and Pupil based on Periocular Region Suppression
Bilal Hassan
Ramsha Ahmed
Taimur Hassan
N. Werghi
32
15
0
15 Feb 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
435
15,631
0
02 Nov 2015
1