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PotCoin Announces the Launch of the High Rollers Club | HackerNoon

PotCoin is entering into a new era of innovation and community engagement. Introducing exclusive giveaways and rewards for dedicated PotCoin holders. The platform will rejuvenate the PotCoin community and incentivize loyal participants. The High Rollers Club will deliver exclusive benefits to PotCoin holders through a dynamic reward system, reigniting the excitement that first defined the PotCoin movement. The PotCoin High Rollers Vault introduces a straightforward, rewarding experience for dedicated crypto enthusiasts. Members can deposit their

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Uni-OVSeg: A Step Towards Efficient and Bias-Resilient Vision Systems | HackerNoon

Authors: (1) Zhaoqing Wang, The University of Sydney and AI2Robotics; (2) Xiaobo Xia, The University of Sydney; (3) Ziye Chen, The University of Melbourne; (4) Xiao He, AI2Robotics; (5) Yandong Guo, AI2Robotics; (6) Mingming Gong, The University of Melbourne and Mohamed bin Zayed University of Artificial Intelligence; (7) Tongliang Liu, The University of Sydney. Table of Links Abstract and 1. Introduction 2. Related works 3. Method and 3.1. Problem definition 3.2. Baseline and 3.3. Uni-OVSeg

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Uni-OVSeg: Weakly-Supervised Open-Vocabulary Segmentation with Cutting-Edge Performance | HackerNoon

Authors: (1) Zhaoqing Wang, The University of Sydney and AI2Robotics; (2) Xiaobo Xia, The University of Sydney; (3) Ziye Chen, The University of Melbourne; (4) Xiao He, AI2Robotics; (5) Yandong Guo, AI2Robotics; (6) Mingming Gong, The University of Melbourne and Mohamed bin Zayed University of Artificial Intelligence; (7) Tongliang Liu, The University of Sydney. Table of Links Abstract and 1. Introduction 2. Related works 3. Method and 3.1. Problem definition 3.2. Baseline and 3.3. Uni-OVSeg

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The Impact of Mask-Text Alignment and Multi-Scale Ensemble on Uni-OVSeg’s Segmentation Accuracy | HackerNoon

Authors: (1) Zhaoqing Wang, The University of Sydney and AI2Robotics; (2) Xiaobo Xia, The University of Sydney; (3) Ziye Chen, The University of Melbourne; (4) Xiao He, AI2Robotics; (5) Yandong Guo, AI2Robotics; (6) Mingming Gong, The University of Melbourne and Mohamed bin Zayed University of Artificial Intelligence; (7) Tongliang Liu, The University of Sydney. Table of Links Abstract and 1. Introduction 2. Related works 3. Method and 3.1. Problem definition 3.2. Baseline and 3.3. Uni-OVSeg

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Uni-OVSeg Outperforms Weakly-Supervised and Fully-Supervised Methods in Open-Vocabulary Segmentation | HackerNoon

Authors: (1) Zhaoqing Wang, The University of Sydney and AI2Robotics; (2) Xiaobo Xia, The University of Sydney; (3) Ziye Chen, The University of Melbourne; (4) Xiao He, AI2Robotics; (5) Yandong Guo, AI2Robotics; (6) Mingming Gong, The University of Melbourne and Mohamed bin Zayed University of Artificial Intelligence; (7) Tongliang Liu, The University of Sydney. Table of Links Abstract and 1. Introduction 2. Related works 3. Method and 3.1. Problem definition 3.2. Baseline and 3.3. Uni-OVSeg

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Software

How Distributed Databases Power Mission-Critical Business Apps: A Case Study with Amey Banarse | HackerNoon

As the world becomes increasingly digital, businesses across industries—from retail to finance and automotive—must handle massive volumes of data. Whether managing product catalogs, processing telemetry data, or handling financial transactions, the ability to manage and scale real-time data across multiple regions is critical for global operations. One expert leading the way in solving these data management challenges is Amey Banarse, a solutions engineer with over a decade of experience in distributed database technologies. Amey uses

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The Big T | HackerNoon

The US elections are over and Donald Trump has been elected to the highest public office in the US. Political pundits will spend the next few weeks dissecting what went wrong and what went right, but I want to take a moment to look at some of the Ts. T for Trump. T for Tesla. And T for technology. And we’ll add in a B for good measure (more on that in just a bit).

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The Reality of Digital Nomads: Defying Sight and Sound | HackerNoon

If you haven’t read The Reality of Digital Nomads: Chasing Highs, Finding What? (Part 1), it delves into the challenges I faced as a digital nomad — the lack of stability, absence of community, and the constant stress and fatigue. A key takeaway is my suggestion that “digital homeless” might be a more fitting term for digital nomads. I end by comparing today’s nomads to historical figures like Mountain Hermits and Monastic Wanderers, who also led

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Software

Code Smell 278 – DirName and File | HackerNoon

Avoid Ambiguous Naming for Path Variables Problems Unclear variable purpose Bijection Fault Misleading context Repetitive code Harder maintenance Reduced readability Abbreviations Increased cognitive load Solutions Honor the Bijection Use precise names Avoid ambiguity Keep context clear Extract reusable code Follow naming conventions Reify names with their rules Context When handling a single fileName or directoryPath, vague names like file or dirName create confusion. A file should represent a File A fileName should represent the name

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Software

Sweet Security Launches Its Cloud Native Detection And Response Platform On The AWS Marketplace | HackerNoon

**TEL AVIV, Israel, November 11th, 2024/CyberNewsWire/–**Sweet Security today announced the availability of its cloud-native detection and response platform on the Amazon Web Services (AWS) marketplace. Sweet’s solution unifies threat detection across cloud infrastructure, network, workloads, and applications. It provides deep runtime context that enables security teams to quickly extract actual attack narratives from a sea of isolated incidents. Using Sweet, AWS Marketplace customers can detect active threats in real time and respond to them within

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