ABSTRACT: Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs when objects of different physical sizes appear identical in camera ...
Abstract: Hyperspectral target detection (HTD) is a critical task in remote sensing, where numerous deep learning (DL)-based methods have emerged for their powerful ability to extract hierarchical and ...
Abstract: This paper presents an approach to Model Predictive Control (MPC) for nonlinear systems by combining Koopman operator theory with autoencoder networks enhanced by temporal layers for ...
A startling milestone has been reached in Florida's war against the invasive Burmese pythons eating their way across the Everglades. The Conservancy of Southwest Florida reports it has captured and ...
This is a Python repository for recovering weights or re-training a multimodal masked autoencoder on anatomical brain MRIs. It naturally handles missing modalities and processes any combination of ...
Official support for free-threaded Python, and free-threaded improvements Python’s free-threaded build promises true parallelism for threads in Python programs by removing the Global Interpreter Lock ...
Sparse autoencoders are central tools in analyzing how large language models function internally. Translating complex internal states into interpretable components allows researchers to break down ...
CUDA_VISIBLE_DEVICES=0 python scripts/sample.py -d kitti -r models/lidm/kitti/[model_name]/model.ckpt -n 2000 --eval Besides, to train your own LiDAR Diffusion Models ...
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