Unsupervised Anomaly Instance Segmentation for Baggage Threat
Recognition

Unsupervised Anomaly Instance Segmentation for Baggage Threat Recognition

15 July 2021

Salman Khan

Papers citing "Unsupervised Anomaly Instance Segmentation for Baggage Threat Recognition"

7 / 7 papers shown

Title
An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs Mehreen Sirshar Taimur Hassan M. Akram S. Khan 25 33 0 07 Jan 2022
Temporal Fusion Based Mutli-scale Semantic Segmentation for Detecting Concealed Baggage Threats Muhammad Shafay Taimur Hassan Ernesto Damiani N. Werghi 22 9 0 04 Nov 2021
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning Taimur Hassan Bilal Hassan M. Akram Shahrukh K Hashmi A. Taguri N. Werghi OOD 36 17 0 18 Oct 2021
Automated segmentation and extraction of posterior eye segment using OCT scans Bilal Hassan Taimur Hassan Ramsha Ahmed Shiyin Qin N. Werghi 21 3 0 21 Sep 2021
A Dilated Residual Hierarchically Fashioned Segmentation Framework for Extracting Gleason Tissues and Grading Prostate Cancer from Whole Slide Images Taimur Hassan Bilal Hassan A. El-Baz N. Werghi 21 10 0 01 Nov 2020
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 35 15 0 15 Feb 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,549 0 17 Apr 2017