Transfer learning boosts the performance of medical image analysis by
en...
Skin lesion analysis models are biased by artifacts placed during image
...
Distribution shifts are common in real-world datasets and can affect the...
Natural language processing techniques have helped domain experts solve ...
Deep Learning failure cases are abundant, particularly in the medical ar...
Skin cancer is a major public health problem that could benefit from
com...
The online sharing and viewing of Child Sexual Abuse Material (CSAM) are...
Citrus juices and fruits are commodities with great economic potential i...
This paper shows that CIDEr-D, a traditional evaluation metric for image...
Self-supervised pre-training appears as an advantageous alternative to
s...
Despite the growing availability of high-quality public datasets, the la...
Automatically describing images using natural sentences is an important ...
Segmenting skin lesions images is relevant both for itself and for assis...
Data-driven models are now deployed in a plethora of real-world applicat...
Pests and diseases are relevant factors for production losses in agricul...
Generative Adversarial Networks fostered a newfound interest in generati...
Agricultural applications as yield prediction, precision agriculture and...
In this work, we explore the issue of the inter-annotator agreement for
...
Convolutional neural networks (CNNs) deliver exceptional results for com...
Watching cartoons can be useful for children's intellectual, social and
...
Melanoma is the deadliest form of skin cancer. Automated skin lesion ana...
Skin cancer is by far the most common type of cancer. Early detection is...
Deep learning models show remarkable results in automated skin lesion
an...
This extended abstract describes the participation of RECOD Titans in pa...
State of the art on melanoma screening evolved rapidly in the last two y...
Knowledge transfer impacts the performance of deep learning -- the state...
This extended abstract describes the participation of RECOD Titans in pa...
Deep learning is the current bet for image classification. Its greed for...
In this paper we survey, analyze and criticize current art on automated
...