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What’s your story with becoming a femboy?? : r/feminineboys
We mesh together very nicely. So as a femboy I watched anime with astaflo and I resonated with that character. Deep dive. Is popular with femboys. Deeper dive to femboys and habits of non NSFW …
A Deeper Look into Hybrid Images
$Hybrid$ $images$ was first introduced by Olivia et al., that produced static images with two interpretations such that the images changes as a function of viewing distance. Hybrid images are built by studying human processing of multiscale images an...
Why is everyone saying perplexity is dead? Paying 20$ for over a year.
I've been a Pro subscriber for over a year now, been through a lot with this platform and still subscribed. But suddenly everyone here is saying Perplexity is dying? What happened? Is it about Deep R...
Example Perplexity
Some examples are easier for humans to classify than others. The same should be true for deep neural networks (DNNs). We use the term example perplexity to refer to the level of difficulty of classifying an example. In this paper, we propose a method...
Adobe After Effects - Download
2 days ago · Adobe After Effects excels by bridging the gap between graphic design and cinematography. By offering a deep, layer-based system, it allows users to orchestrate complex …
A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials
There have been emerging a number of benchmarks and techniques for the detection of deepfakes. However, very few works study the detection of incrementally appearing deepfakes in the real-world scenarios. To simulate the wild scenes, this paper sugge...
Forest Essentials - Wikipedia
Forest Essentials was born, and grew". Business Standard News. Retrieved 2019-03-21. "Deep rooted beauty: Mira Kulkarni, MD, Forest Essentials". The Economic
FED SCHEDULES $8B LIQUIDITY OP AT 9:00 AM ET (TOMORROW)
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Faro: A framework for measuring the scientific performance of petascale Rubin Ob…
The Vera C. Rubin Observatory will advance many areas of astronomy over the next decade with its unique wide-fast-deep multi-color imaging survey, the Legacy Survey of Space and Time (LSST). The LSST will produce approximately 20TB of raw data per ni...
Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Lan…
Recent advancements in reasoning with large language models (RLLMs), such as OpenAI-O1 and DeepSeek-R1, have demonstrated their impressive capabilities in complex domains like mathematics and coding. A central factor in their success lies in the appl...
DeepAoANet: Learning Angle of Arrival from Software Defined Radios with Deep Neu…
Direction finding and positioning systems based on RF signals are significantly impacted by multipath propagation, particularly in indoor environments. Existing algorithms (e.g MUSIC) perform poorly in resolving Angle of Arrival (AoA) in the presence...
An Investigation into the Stochasticity of Batch Whitening
Batch Normalization (BN) is extensively employed in various network architectures by performing standardization within mini-batches. A full understanding of the process has been a central target in the deep learning communities. Unlike existing w...
Identifying Risk of Opioid Use Disorder for Patients Taking Opioid Medications w…
The United States is experiencing an opioid epidemic, and there were more than 10 million opioid misusers aged 12 or older each year. Identifying patients at high risk of Opioid Use Disorder (OUD) can help to make early clinical interventions to redu...
A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Int…
Deep-learning-based clinical decision support using structured electronic health records (EHR) has been an active research area for predicting risks of mortality and diseases. Meanwhile, large amounts of narrative clinical notes provide complementary...
Self-improvement of uniform fatness revisited
We give a new proof for the self-improvement of uniform p-fatness in the setting of general metric spaces. Our proof is based on rather standard methods of geometric analysis, and in particular the proof avoids the use of deep results from potential...
Quality Assurance of Weld Seams Using Laser Triangulation Imaging and Deep Neura…
In this paper, a novel optical inspection system is presented that is directly suitable for Industry 4.0 and the implementation on IoT-devices controlling the manufacturing process. The proposed system is capable of distinguishing between erroneous a...
Visual-RFT: Visual Reinforcement Fine-Tuning
Reinforcement Fine-Tuning (RFT) in Large Reasoning Models like OpenAI o1 learns from feedback on its answers, which is especially useful in applications when fine-tuning data is scarce. Recent open-source work like DeepSeek-R1 demonstrates that reinf...
Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Netwo…
In this paper, we propose an efficient saliency map generation method, called Group score-weighted Class Activation Mapping (Group-CAM), which adopts the "split-transform-merge" strategy to generate saliency maps. Specifically, for an input image, th...
Abs-CAM: A Gradient Optimization Interpretable Approach for Explanation of Convo…
The black-box nature of Deep Neural Networks (DNNs) severely hinders its performance improvement and application in specific scenes. In recent years, class activation mapping-based method has been widely used to interpret the internal decisions of mo...