Add to ORKGTommasi T., Patricia N., Caputo B., Tuytelaars T., ''A deeper look at dataset bias'', 37th German conference on pattern recognition - GCPR 2015, 19 pp., October 7-10, 2015, Aachen, Germany.status: publishe
Recent discoveries have revealed that deep neural networks might behave in a biased manner in many r...
This research project investigates the role of key factors that led to the resurgence of deep CNNs ...
Though Deep Convolutional Neural Networks (DCNN) have shown success in many tasks in the field of co...
© Springer International Publishing Switzerland 2015. The presence of a bias in each image data coll...
The presence of a bias in each image data collection has recently attracted a lot of attention in th...
Deep Learning has achieved tremendous success in recent years in several areas such as image classif...
It is unknown what kind of biases modern in the wild face datasets have because of their lack of ann...
Given a pre-trained CNN without any testing samples, this paper proposes a simple yet effective meth...
Computer Vision (CV) has achieved remarkable results, outperforming humans in several tasks. Nonethe...
Within the last years Face Recognition (FR) systems have achieved human-like (or better) performance...
Computer Vision (CV) has achieved remarkable results, outperforming humans in several tasks. Nonethe...
Neural networks achieve the state-of-the-art in image classification tasks. However, they can encode...
Neural networks often make predictions relying on the spurious correlations from the datasets rather...
<p>The presence of bias in existing object recognition datasets is now well-known in the computer vi...
Currently, many theoretical as well as practically relevant questions towards the transferability an...
Recent discoveries have revealed that deep neural networks might behave in a biased manner in many r...
This research project investigates the role of key factors that led to the resurgence of deep CNNs ...
Though Deep Convolutional Neural Networks (DCNN) have shown success in many tasks in the field of co...
© Springer International Publishing Switzerland 2015. The presence of a bias in each image data coll...
The presence of a bias in each image data collection has recently attracted a lot of attention in th...
Deep Learning has achieved tremendous success in recent years in several areas such as image classif...
It is unknown what kind of biases modern in the wild face datasets have because of their lack of ann...
Given a pre-trained CNN without any testing samples, this paper proposes a simple yet effective meth...
Computer Vision (CV) has achieved remarkable results, outperforming humans in several tasks. Nonethe...
Within the last years Face Recognition (FR) systems have achieved human-like (or better) performance...
Computer Vision (CV) has achieved remarkable results, outperforming humans in several tasks. Nonethe...
Neural networks achieve the state-of-the-art in image classification tasks. However, they can encode...
Neural networks often make predictions relying on the spurious correlations from the datasets rather...
<p>The presence of bias in existing object recognition datasets is now well-known in the computer vi...
Currently, many theoretical as well as practically relevant questions towards the transferability an...
Recent discoveries have revealed that deep neural networks might behave in a biased manner in many r...
This research project investigates the role of key factors that led to the resurgence of deep CNNs ...
Though Deep Convolutional Neural Networks (DCNN) have shown success in many tasks in the field of co...