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Found 7 papers, 1 papers with code
Self-Supervised Curricular Deep Learning for Chest X-Ray Image Classification
Deep learning technologies have already demonstrated a high potential to build diagnosis support systems from medical imaging data, such as Chest X-Ray images.
A study on the distribution of social biases in self-supervised learning visual models
We show that there is a correlation between the type of the SSL model and the number of biases that it incorporates.
Graph Neural Networks for Cross-Camera Data Association
To avoid the usage of fixed distances, we leverage the connectivity of Graph Neural Networks, previously unused in this scope, using a Message Passing Network to jointly learn features and similarity.
Improved skin lesion recognition by a Self-Supervised Curricular Deep Learning approach
State-of-the-art deep learning approaches for skin lesion recognition often require pretraining on larger and more varied datasets, to overcome the generalization limitations derived from the reduced size of the skin lesion imaging datasets.
FVV Live: A real-time free-viewpoint video system with consumer electronics hardware
The system has been designed to yield high-quality free-viewpoint video using consumer-grade cameras and hardware, which enables low deployment costs and easy installation for immersive event-broadcasting or videoconferencing.
FVV Live: Real-Time, Low-Cost, Free Viewpoint Video
FVV Live is a novel real-time, low-latency, end-to-end free viewpoint system including capture, transmission, synthesis on an edge server and visualization and control on a mobile terminal.
Semantic Driven Multi-Camera Pedestrian Detection
Contrarily to the majority of the methods of the state-of-the-art, the proposed approach is scene-agnostic, not requiring a tailored adaptation to the target scenario\textemdash e. g., via fine-tunning.
