ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1911.08216
  4. Cited By
On the Impact of Object and Sub-component Level Segmentation Strategies
  for Supervised Anomaly Detection within X-ray Security Imagery

On the Impact of Object and Sub-component Level Segmentation Strategies for Supervised Anomaly Detection within X-ray Security Imagery

19 November 2019
Neelanjan Bhowmik
Yona Falinie A. Gaus
S. Akçay
Jack W. Barker
T. Breckon
ArXiv (abs)PDFHTML

Papers citing "On the Impact of Object and Sub-component Level Segmentation Strategies for Supervised Anomaly Detection within X-ray Security Imagery"

2 / 2 papers shown
Title
Improved Bilinear Pooling with CNNs
Improved Bilinear Pooling with CNNs
Tsung-Yu Lin
Subhransu Maji
74
199
0
21 Jul 2017
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB
  model size
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
177
7,506
0
24 Feb 2016
1