SIP-SegNet: A Deep Convolutional Encoder-Decoder Network for Joint Semantic Segmentation and Extraction of Sclera, Iris and Pupil based on Periocular Region Suppression

15 February 2020

Papers citing "SIP-SegNet: A Deep Convolutional Encoder-Decoder Network for Joint Semantic Segmentation and Extraction of Sclera, Iris and Pupil based on Periocular Region Suppression"

6 / 6 papers shown

Title
Towards an efficient Iris Recognition System on Embedded Devices Daniel P. Benalcazar Juan E. Tapia Mauricio Vasquez L. Causa E. Droguett Christoph Busch 24 3 0 24 Oct 2022
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
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 437 15,631 0 02 Nov 2015