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02/27/2023
Soft labelling for semantic segmentation: Bringing coherence to label down-sampling
In semantic segmentation, training data down-sampling is commonly perfor...
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01/25/2023
Self-Supervised Curricular Deep Learning for Chest X-Ray Image Classification
Deep learning technologies have already demonstrated a high potential to...
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11/28/2022
Graph Convolutional Network for Multi-Target Multi-Camera Vehicle Tracking
This letter focuses on the task of Multi-Target Multi-Camera vehicle tra...
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05/04/2022
Impact of a DCT-driven Loss in Attention-based Knowledge-Distillation for Scene Recognition
Knowledge Distillation (KD) is a strategy for the definition of a set of...
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03/03/2022
A study on the distribution of social biases in self-supervised learning visual models
Deep neural networks are efficient at learning the data distribution if ...
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12/22/2021
Improved skin lesion recognition by a Self-Supervised Curricular Deep Learning approach
State-of-the-art deep learning approaches for skin lesion recognition of...
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02/08/2021
Online Clustering-based Multi-Camera Vehicle Tracking in Scenarios with overlapping FOVs
Multi-Target Multi-Camera (MTMC) vehicle tracking is an essential task o...
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08/26/2020
A Prospective Study on Sequence-Driven Temporal Sampling and Ego-Motion Compensation for Action Recognition in the EPIC-Kitchens Dataset
Action recognition is currently one of the top-challenging research fiel...
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05/25/2020
Egocentric Human Segmentation for Mixed Reality
The objective of this work is to segment human body parts from egocentri...
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09/05/2019
Semantic-Aware Scene Recognition
Scene recognition is currently one of the top-challenging research field...
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12/27/2018
