WALT3D: Generating Realistic Training Data from Time-Lapse Imagery for Reconstructing Dynamic Objects under Occlusion
Current methods for 2D and 3D object understanding struggle with severe occlusions in
busy urban environments partly due to the lack of large-scale labeled ground-truth …
busy urban environments partly due to the lack of large-scale labeled ground-truth …
Listen as you wish: Fusion of audio and text for cross-modal event detection in smart cities
In the era of smart cities, the advent of the Internet of Things technology has catalyzed the
proliferation of multimodal sensor data, presenting new challenges in cross-modal event …
proliferation of multimodal sensor data, presenting new challenges in cross-modal event …
Recycling of generic ImageNet-trained models for smart-city applications
K Filus, J Domańska - … on Data Science and Advanced Analytics …, 2023 - ieeexplore.ieee.org
Convolutional Neural Networks (CNNs) enabled breakthroughs in computer vision. They are
also used in different domains of smart cities to process and analyze large amounts of image …
also used in different domains of smart cities to process and analyze large amounts of image …