International Conference on Computer and Knowledge Engineering

Home / 12th International Conference on Computer and Knowledge Engineering

Semantic Segmentation Using Region Proposals and Weakly-Supervised Learning

Authors :

Maryam Taghizadeh¹ Abdolah Chalechale²

1- Razi University 2- Razi University

Keywords :

Semantic segmentation،Weakly-supervised learning،Region proposal

Abstract :

Region proposal plays an important role in computer vision and successfully improves performance. This paper presents an efficient method using the region proposal for semantic segmentation. The main aim is to generate annotated data for deep learning techniques effortlessly. For this purpose, a region proposal algorithm is used to convert an image into several regions. According to defined rules, regions are explored, and some precise regions are selected. A new algorithm is introduced to generate useful masks only by supervising annotated data in the form of the bounding box. After that, these masks are fed to a deep semantic segmentation network. The proposed method shows good results for weakly supervised learning semantic segmentation on the VOC2012 dataset. Also, this method can be employed to generate huge annotated data automatically and used to train deep networks.

Papers List

List of archived papers

A Review on Machine Learning Methods for Workload Prediction in Cloud Computing

Mohammad Yekta - Hadi Shahriar Shahhoseini

A Chaotic Crow Search Algorithm for Overlapping Clustering

Mostafa Sabzekar - Seyed Vahid Mousavainejad

EfficientNetB0’s Hybrid Approach for Brain Tumor Classification from MRI Images Using Deep Learning and Bagging Trees

Yeganeh Modaresnia - Farhad Abedinzadeh Torghabeh - Seyyed Abed Hosseini

Reliability Evaluation of 4:2 Compressors Based on Hammock Networks

Farshad Safaei - Mohammad mahdi Emadi Kouchak - Sara Talebpour

Degarbayan-SC: A Colloquial Paraphrase Farsi Subtitles Dataset

Mohammad Javad Aghajani - Mohammad Ali Keyvanrad

DFIG-WECS Renewable Integration to the Grid and Stability Improvement through Optimal Damping Controller Design

Theophilus Ebuka Odoh - Aliyu Sabo - Hossien Shahinzadeh - Noor Izzri Abdul Wahab - Farshad Ebrahimi

Introducing E4MT and LMBNC: Persian pre-processing utilities

Zakieh Shakeri - Mehran Ziabary - Behrooz Vedadian - Fatemeh Azadi - Saeed Torabzadeh - Arian Atefi

GroupRec: Group Recommendation by Numerical Characteristics of Groups in Telegram

Davod Karimpour - Mohammad Ali Zare Chahooki - Ali Hashemi

Underwater Image Super-Resolution using Generative Adversarial Network-based Model

Alireza Aghelan - Modjtaba Rouhani

Using Deep Learning for Classification of Lung Cancer on CT Images in Ardabil Province

Mohammad Ali Javadzadeh Barzaki - Jafar Abdollahi - Mohammad Negaresh - Maryam Salimi - Hadi Zolfeghari - Mohsen Mohammadi - Asma Salmani - Rona Jannati - Firouz Amani

Samin Hamayesh - Version 42.2.1