AI model training needs are changing, with subject experts pushing aside generalist data labelers

HireArt's 2025 compensation report took a deep look at how much data annotators get paid. It's a fascinating window into how ...
GitHub

SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation

We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...
IEEE

Encoder-Decoder Based Deep Reinforcement Learning for Multi-AUV Assisted Data Collection in UWSNs

Abstract: Reliable and timely data collection poses a significant challenge for underwater wireless sensor networks (UWSNs), primarily due to the extremely low data rate of underwater communication ...
IEEE

Quantized Auto Encoder-Based Anomaly Detection for Multivariate Time Series Data in 5G Networks

Abstract: With the arrival of 5G technology, networks face critical challenges in detecting anomalies that can significantly impact performance and reliability. This paper introduces QAED (Quantized ...