Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Sultani, Waqas"'
In recent years, numerous domain adaptive strategies have been proposed to help deep learning models overcome the challenges posed by domain shift. However, even unsupervised domain adaptive strategies still require a large amount of target data. Med
Externí odkaz:
http://arxiv.org/abs/2407.07633
Early diagnosis of breast cancer (BC) significantly contributes to reducing the mortality rate worldwide. The detection of different factors and biomarkers such as Estrogen receptor (ER), Progesterone receptor (PR), Human epidermal growth factor rece
Externí odkaz:
http://arxiv.org/abs/2406.18212
Autor:
Rehman, Abdul, Meraj, Talha, Minhas, Aiman Mahmood, Imran, Ayisha, Ali, Mohsen, Sultani, Waqas
Earlier diagnosis of Leukemia can save thousands of lives annually. The prognosis of leukemia is challenging without the morphological information of White Blood Cells (WBC) and relies on the accessibility of expensive microscopes and the availabilit
Externí odkaz:
http://arxiv.org/abs/2405.10803
Getting precise aspects of road through segmentation from remote sensing imagery is useful for many real-world applications such as autonomous vehicles, urban development and planning, and achieving sustainable development goals. Roads are only a sma
Externí odkaz:
http://arxiv.org/abs/2309.15625
Cross-View Geo-Localization (CVGL) estimates the location of a ground image by matching it to a geo-tagged aerial image in a database. Recent works achieve outstanding progress on CVGL benchmarks. However, existing methods still suffer from poor perf
Externí odkaz:
http://arxiv.org/abs/2308.09624
Autor:
Butt, Muhammad Atif, Ali, Hassan, Qayyum, Adnan, Sultani, Waqas, Al-Fuqaha, Ala, Qadir, Junaid
Semantic understanding of roadways is a key enabling factor for safe autonomous driving. However, existing autonomous driving datasets provide well-structured urban roads while ignoring unstructured roadways containing distress, potholes, water puddl
Externí odkaz:
http://arxiv.org/abs/2308.06393
Cross-view geo-localization aims to estimate the location of a query ground image by matching it to a reference geo-tagged aerial images database. As an extremely challenging task, its difficulties root in the drastic view changes and different captu
Externí odkaz:
http://arxiv.org/abs/2212.04074
Cross-view geo-localization aims to estimate the GPS location of a query ground-view image by matching it to images from a reference database of geo-tagged aerial images. To address this challenging problem, recent approaches use panoramic ground-vie
Externí odkaz:
http://arxiv.org/abs/2210.14295
Drone-to-drone detection using visual feed has crucial applications, such as detecting drone collisions, detecting drone attacks, or coordinating flight with other drones. However, existing methods are computationally costly, follow non-end-to-end op
Externí odkaz:
http://arxiv.org/abs/2210.08423
One billion people worldwide are estimated to be living in slums, and documenting and analyzing these regions is a challenging task. As compared to regular slums; the small, scattered and temporary nature of temporary slums makes data collection and
Externí odkaz:
http://arxiv.org/abs/2204.04419