Video smoke detection is a promising fire detection method especially in open or large spaces and outdoor environments. Traditional video smoke detection methods usually consist of candidate region extraction and classification, but lack powerful cha...
...
i am looking for trades WANT: mylf premium, teamskeet premium, vixenplus, mrluckypov, deeplush, legendaryx HAVE: topwebmodels, lyndaleigh, analonly, jaxslayher, carmenvalentina, pornworld, analac...
In this paper, we present CaveSeg - the first visual learning pipeline for semantic segmentation and scene parsing for AUV navigation inside underwater caves. We address the problem of scarce annotated training data by preparing a comprehensive datas...
Set-based learning is an essential component of modern deep learning and network science. Graph Neural Networks (GNNs) and their edge-free counterparts Deepsets have proven remarkably useful on ragged and topologically challenging datasets. The key t...
Placeholder repository for my attempt at recreating https://deepmind.com/research/case-studies/alphago-the-story-so-far (⭐ 0)
The red heart emoji ï¸ is a classic red heart shape that symbolizes love, deep affection, and strong emotions. Widely used to express romantic feelings, care, appreciation, and friendship.
Video object segmentation (VOS) has made significant progress with the rise of deep learning. However, there still exist some thorny problems, for example, similar objects are easily confused and tiny objects are difficult to be found. To solve these...
### [Read the post and see the Bulette land across the editions on Dump Stat](https://dumpstatadventures.com/blog/deep-dive-the-slaadi) The Slaadi were created by Charles Stross, who seems to have a ...
Computer-aided diagnosis has recently received attention for its advantage of low cost and time efficiency. Although deep learning played a major role in the recent success of acne detection, there are still several challenges such as color shift by...
We worked with Nestle SHIELD (Skin Health, Innovation, Education, and Longevity Development, NSH) to develop a deep learning model that is able to assess acne severity from selfie images as accurate as dermatologists. The model was deployed as a mobi...
May 16, 2022 · To help Marlo cope better, her brother hires a night nanny named Tully, who miraculously transforms her life. Both women start bonding deeply and though Marlo feels relieved, …
**Disclaimer:** I'm heavily simplifying a very complex topic for the sake of keeping this post brief. Folks, close your trading app. Take a deep breath. Relax. This is not the apocalypse. This is no...
A canyon (from Spanish cañón; archaic British English spelling: cañon), gorge or chasm, is a deep cleft between escarpments or cliffs resulting from weathering
Recent advances in deep neural networks (DNNs) have significantly improved various audio processing applications, including speech enhancement, synthesis, and hearing-aid algorithms. DNN-based closed-loop systems have gained popularity in these appli...
Audio processors whose parameters are modified periodically over time are often referred as time-varying or modulation based audio effects. Most existing methods for modeling these type of effect units are often optimized to a very specific circuit a...
I have been pretty neck deep in researching the history of the stock market, computing, and a series of other rabbit holes of learning that all stem from GameStop. I've tried to post earlier drafts o...
This post is intended to be a resource on WFG. After seeing the effects of this company in my area (Vancouver), I felt that more people need to know, especially since many WFG members work under diffe...
In computed tomography (CT), achieving high image quality while minimizing radiation exposure remains a key clinical challenge. This paper presents CAPRI-CT, a novel causal-aware deep learning framework for Causal Analysis and Predictive Reasoning fo...
Tropical cyclone (TC) forecasting is crucial for disaster preparedness and mitigation. While recent deep learning approaches have shown promise, existing methods often treat TC evolution as a series of independent frame-to-frame predictions, limiting...