REHMAN, ANWAR UR

REHMAN, ANWAR UR  

DIPARTIMENTO DI SCIENZE TEORICHE E APPLICATE  

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Titolo Data di pubblicazione Autore(i) File
A Food Package Recognition Framework for Enhancing Efficiency Leveraging the Object Detection Model 1-gen-2023 Ur Rehman, Anwar; Gallo, Ignazio; Lorenzo, Pengue
Cross-pollination of knowledge for object detection in domain adaptation for industrial automation 1-gen-2024 Rehman, Anwar Ur; Gallo, Ignazio
Deep Object Detection of Crop Weeds: Performance of YOLOv7 on a Real Case Dataset from UAV Images 1-gen-2023 Gallo, Ignazio; Rehman, Anwar Ur; Dehkordi, Ramin Heidarian; Landro, Nicola; La Grassa, Riccardo; Boschetti, Mirco
Distortion-aware super-resolution for planetary exploration images 1-gen-2024 Landro, Nicola; Gallo, Ignazio; Pelosi, Filippo; La Grassa, Riccardo; Rehman, Anwar Ur
Enhancing crop segmentation in satellite image time-series with transformer networks 1-gen-2024 Gallo, Ignazio; Gatti, Mattia; Landro, Nicola; Lo Schiavo, Christian; Boschetti, Mirco; La Grassa, Riccardo; Rehman, Anwar Ur
Self-Supervised Convolutional Neural Network Learning in a Hybrid Approach Framework to Estimate Chlorophyll and Nitrogen Content of Maize from Hyperspectral Images 1-gen-2023 Gallo, Ignazio; Boschetti, Mirco; Rehman, Anwar Ur; Candiani, Gabriele