Landslide Detection and Segmentation Using Remote Sensing Images and Deep Neural Network

no code implementations • 27 Dec 2023 • Cam Le, Lam Pham, Jasmin Lampert, Matthias Schlögl, Alexander Schindler

Finally, we propose a combined loss function which leverages Focal loss and IoU loss to train the network.

Feature Engineering

Low-complexity deep learning frameworks for acoustic scene classification using teacher-student scheme and multiple spectrograms

no code implementations • 16 May 2023 • Lam Pham, Dat Ngo, Cam Le, Anahid Jalali, Alexander Schindler

In the second phase, the student network, which presents a low complexity model, is trained with the embeddings extracted from the teacher.

Acoustic Scene Classification Scene Classification

A Light-weight Deep Learning Model for Remote Sensing Image Classification

no code implementations • 25 Feb 2023 • Lam Pham, Cam Le, Dat Ngo, Anh Nguyen, Jasmin Lampert, Alexander Schindler, Ian McLoughlin

In this paper, we present a high-performance and light-weight deep learning model for Remote Sensing Image Classification (RSIC), the task of identifying the aerial scene of a remote sensing image.

Image Classification Knowledge Distillation +1

A Robust and Low Complexity Deep Learning Model for Remote Sensing Image Classification

no code implementations • 5 Nov 2022 • Cam Le, Lam Pham, Nghia NVN, Truong Nguyen, Le Hong Trang

In this paper, we present a robust and low complexity deep learning model for Remote Sensing Image Classification (RSIC), the task of identifying the scene of a remote sensing image.

Image Classification Quantization +1