9,197 results for deep

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Crows: Facts about the clever birds that live all over the world

Jun 18, 2025 · Different crow species live on every continent except South America and Antarctica. Although they're sometimes dismissed as noisy pests, crows are clever, curious, and deeply social …

arxiv.org/abs/1911.10739v1

Empirical Study of Easy and Hard Examples in CNN Training

Deep Neural Networks (DNNs) generalize well despite their massive size and capability of memorizing all examples. There is a hypothesis that DNNs start learning from simple patterns and the hypothesis is based on the existence of examples that are co...

arxiv.org/abs/2504.11966v2

Exploring Video-Based Driver Activity Recognition under Noisy Labels

As an open research topic in the field of deep learning, learning with noisy labels has attracted much attention and grown rapidly over the past ten years. Learning with label noise is crucial for driver distraction behavior recognition, as real-worl...

arxiv.org/abs/gr-qc/0503021v1

A Route to Understanding of the Pioneer Anomaly

The Pioneer 10 and 11 spacecraft yielded the most precise navigation in deep space to date. However, while at heliocentric distance of $\sim$ 20--70 AU, the accuracies of their orbit reconstructions were limited by a small, anomalous, Doppler frequ...

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Tips to Heal a Broken Heart | U.S. News

Feb 11, 2025 · Heartbreak, an emotional type of grief you might feel at the end of a romantic relationship or deep friendship, can feel debilitating and even trigger physical symptoms. Although it sounds...

arxiv.org/abs/2106.10834v1

Interpretable Face Manipulation Detection via Feature Whitening

Why should we trust the detections of deep neural networks for manipulated faces? Understanding the reasons is important for users in improving the fairness, reliability, privacy and trust of the detection models. In this work, we propose an interpre...

arxiv.org/abs/1904.09739v4

Switchable Whitening for Deep Representation Learning

Normalization methods are essential components in convolutional neural networks (CNNs). They either standardize or whiten data using statistics estimated in predefined sets of pixels. Unlike existing works that design normalization techniques for spe...

github.com/SerdarHelli/Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net

SerdarHelli/Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net

The aim of this study is automatic semantic segmentation in one-shot panoramic x-ray image by using deep learning method with U-Net Model and binary image analysis in order to provide diagnostic information for the management of dental disorders, diseases, and…

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arxiv.org/abs/2010.11838v1

Blind Video Temporal Consistency via Deep Video Prior

Applying image processing algorithms independently to each video frame often leads to temporal inconsistency in the resulting video. To address this issue, we present a novel and general approach for blind video temporal consistency. Our method is on...

arxiv.org/abs/1810.06943v6

The Deep Weight Prior

Bayesian inference is known to provide a general framework for incorporating prior knowledge or specific properties into machine learning models via carefully choosing a prior distribution. In this work, we propose a new type of prior distributions f...

en.wikipedia.org/wiki/Pitted_stonefish

Pitted stonefish - Wikipedia

of the bones. The pitted stonefish has a large head which has a rounded profile, there is a bony hump above the eyes with a deep pit on the nape. The snout

www.reddit.com/r/LoveIsBlindOnNetflix/comments/1r3cwee/steven_was_calculated/

Steven was calculated

that conversation with Emma was horrifying. he did not talk about anything deep. but thinks he did while shutting her down every time she actually was opening up. talking about your first kiss and tel...