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06/06/2022
FuSS: Fusing Superpixels for Improved Segmentation Consistency
In this work, we propose two different approaches to improve the semanti...
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04/29/2022
Seeing without Looking: Analysis Pipeline for Child Sexual Abuse Datasets
The online sharing and viewing of Child Sexual Abuse Material (CSAM) are...
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03/02/2022
Conditional Reconstruction for Open-set Semantic Segmentation
Open set segmentation is a relatively new and unexploredtask, with just ...
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09/03/2021
Weakly Supervised Few-Shot Segmentation Via Meta-Learning
Semantic segmentation is a classic computer vision task with multiple ap...
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08/12/2021
Weakly Supervised Medical Image Segmentation
In this paper, we propose a novel approach for few-shot semantic segment...
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05/20/2021
Opening Deep Neural Networks with Generative Models
Image classification methods are usually trained to perform predictions ...
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11/16/2020
A New Similarity Space Tailored for Supervised Deep Metric Learning
We propose a novel deep metric learning method. Differently from many wo...
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11/10/2020
A Soft Computing Approach for Selecting and Combining Spectral Bands
We introduce a soft computing approach for automatically selecting and c...
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08/03/2020
AiRound and CV-BrCT: Novel Multi-View Datasets for Scene Classification
It is undeniable that aerial/satellite images can provide useful informa...
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06/25/2020
Fully Convolutional Open Set Segmentation
In semantic segmentation knowing about all existing classes is essential...
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03/17/2020
BrazilDAM: A Benchmark dataset for Tailings Dam Detection
In this work we present BrazilDAM, a novel public dataset based on Senti...
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01/27/2020
Towards Open-Set Semantic Segmentation of Aerial Images
Classical and more recently deep computer vision methods are optimized f...
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07/30/2019
SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action Recognition
Due to the availability of large-scale skeleton datasets, 3D human actio...
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06/04/2019
An Introduction to Deep Morphological Networks
The recent impressive results of deep learning-based methods on computer...
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03/02/2019
Spatio-Temporal Vegetation Pixel Classification By Using Convolutional Networks
Plant phenology studies rely on long-term monitoring of life cycles of p...
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01/16/2019
Conditional Domain Adaptation GANs for Biomedical Image Segmentation
Due to visual differences in biomedical image datasets acquired using di...
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06/06/2018
A Comparative Study on Unsupervised Domain Adaptation Approaches for Coffee Crop Mapping
In this work, we investigate the application of existing unsupervised do...
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04/11/2018
Dynamic Multi-Scale Semantic Segmentation based on Dilated Convolutional Networks
Semantic segmentation requires methods capable of learning high-level fe...
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11/09/2017
Exploiting ConvNet Diversity for Flooding Identification
Flooding is the world's most costly type of natural disaster in terms of...
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08/22/2017
Activity Recognition based on a Magnitude-Orientation Stream Network
The temporal component of videos provides an important clue for activity...
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11/07/2016
Meat adulteration detection through digital image analysis of histological cuts using LBP
Food fraud has been an area of great concern due to its risk to public h...
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02/04/2016