output
20052025
most citedUnsupervised Domain Adaptation using Generative Adversarial Networks for Semantic Segmentation of Aerial Images

216 citations

Showing cs.CVShow all

6 papers · 1 filter

cs.CV2025★ 4 cited

An Efficient Deep Learning-Based Approach to Automating Invoice Document Validation

Aziz Amari, Mariem Makni, Wissal Fnaich +5

In large organizations, the number of financial transactions can grow rapidly, driving the need for fast and accurate multi-criteria invoice validation. Manual processing remains e…

cs.CV2023★ 17 cited

3D objects and scenes classification, recognition, segmentation, and reconstruction using 3D point cloud data: A review

Omar Elharrouss, Kawther Hassine, Ayman Zayyan +4

Three-dimensional (3D) point cloud analysis has become one of the attractive subjects in realistic imaging and machine visions due to its simplicity, flexibility and powerful capac…

cs.CV2020★ 34 cited

An original framework for Wheat Head Detection using Deep, Semi-supervised and Ensemble Learning within Global Wheat Head Detection (GWHD) Dataset

Fares Fourati, Wided Souidene, Rabah Attia

In this paper, we propose an original object detection methodology applied to Global Wheat Head Detection (GWHD) Dataset. We have been through two major architectures of object det…

cs.CV2019★ 94 cited

Aerial Images Processing for Car Detection using Convolutional Neural Networks: Comparison between Faster R-CNN and YoloV3

Adel Ammar, Anis Koubaa, Mohanned Ahmed +2

In this paper, we address the problem of car detection from aerial images using Convolutional Neural Networks (CNN). This problem presents additional challenges as compared to car…

cs.CV2019★ 216 cited

Unsupervised Domain Adaptation using Generative Adversarial Networks for Semantic Segmentation of Aerial Images

Bilel Benjdira, Yakoub Bazi, Anis Koubaa +1

Segmenting aerial images is being of great potential in surveillance and scene understanding of urban areas. It provides a mean for automatic reporting of the different events that…

cs.CV2014

Genetic Stereo Matching Algorithm with Fuzzy Fitness

Haythem Ghazouani

This paper presents a genetic stereo matching algorithm with fuzzy evaluation function. The proposed algorithm presents a new encoding scheme in which a chromosome is represented b…