IEEE

Unsupervised Deep Learning for DAS-VSP Denoising Using Attention-Based Deep Image Prior

Abstract: Distributed acoustic sensing (DAS) has emerged as a widely used technology in various applications, including borehole microseismic monitoring, active source exploration, and ambient noise ...
GitHub

Cut and Learn for Unsupervised Object Detection and Instance Segmentation

We propose MaskCut approach to generate pseudo-masks for multiple objects in an image. CutLER can learn unsupervised object detectors and instance segmentors solely on ImageNet-1K. CutLER exhibits ...
GitHub

Cut and Learn for Unsupervised Image & Video Object Detection and Instance Segmentation

Cut and Learn for Unsupervised Image & Video Object Detection and Instance Segmentation Cut -and- LE a R n (CutLER) is a simple approach for training object detection and instance segmentation models ...
Microsoft

Agent Lightning: Adding reinforcement learning to AI agents without code rewrites

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...
IEEE

Unsupervised Learning for AoD Estimation in MISO Downlink LoS Transmissions

Abstract: With the emergence of simultaneous localization and communication (SLAC), it becomes more and more attractive to perform angle of departure (AoD) estimation at the receiving Internet of ...