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Ahmad khaliq's Projects

a-generic-framework-for-assessing-the-performance-bounds-of-image-feature-detectors icon a-generic-framework-for-assessing-the-performance-bounds-of-image-feature-detectors

This open source code is the implementation of the framework presented in the following paper: A Generic Framework for Assessing the Performance Bounds of Image Feature Detectors Shoaib Ehsan, Adrian F. Clark, Ales Leonardis, Naveed ur Rehman, Ahmad Khaliq, Maria Fasli and Klaus D. McDonald-Maier This paper is currently under review in Remote Sensing Journal and is also freely available to download from the following link: https://arxiv.org/abs/1605.05791

adm-vrp icon adm-vrp

Dynamic Attention Model for Vehicle Routing Problem (arXiv:2002.03282)

cnn-region-vlad-vpr icon cnn-region-vlad-vpr

AUC-PR results of place recognition datasets on CNN based Region-VLAD Visual Place Recognition framework

crn icon crn

Learned Contextual Feature Reweighting for Image Geo-Localization (CVPR 2017)

deap icon deap

Distributed Evolutionary Algorithms in Python

deep_features icon deep_features

A ROS package for deep CNN-based feature extraction and publishing

dino icon dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

examples icon examples

Example deep learning projects that use wandb's features.

featuremapfiltering icon featuremapfiltering

Source code to ACRA paper "Feature Map Filtering: Improving Visual Place Recognition with Convolutional Calibration".

g2d icon g2d

Collect video sequences with exact 6-DoF camera poses from Grand Theft Auto V

google-landmark icon google-landmark

Dataset with 5 million images depicting human-made and natural landmarks spanning 200 thousand classes.

impact-of-fc-layers icon impact-of-fc-layers

This research is carried out to find the necessity of fully connected (FC) layers in CNN for image classification.

iros2017_onlylookonce icon iros2017_onlylookonce

This repository contains code for our IROS 2017 paper "Only look once, mining distinctive landmarks from convnet for visual place recognition" by Zetao Chen, Fabiola Maffra, Inkyu Sa, Margarita Chli

lostx icon lostx

LoST - Visual Place Recognition using Visual Semantics for Opposite Viewpoints across Day and Night

m-region-vlad-vpr icon m-region-vlad-vpr

AUC-PR results of place recognition datasets on CAMAL Visual Place Recognition framework

magnet icon magnet

MAGNet: Multi-agents control using Graph Neural Networks

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