This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
Abstract: Object detection is a fundamental procedure in the interpretation of remote sensing images. In large-scale remote sensing images, it is common to observe that the interesting objects only ...
Highlights. Compared to our conference version, we achieve new SOTA in the field of COD via the two well-elaborated sub-modules, including neighbor connection decoder (NCD) and group-reversal ...
Microcrystal Electron Diffraction (MicroED) is a cutting-edge technique that allows scientists to determine the atomic structures of proteins and small molecules using standard Transmission Electron ...
Researchers at Google’s Threat Intelligence Group (GTIG) have discovered that hackers are creating malware that can harness the power of large language models (LLMs) to rewrite itself on the fly. An ...
The DMC tool detects two types of malicious code: (1) exfiltration of sensitive data and (2) timebombs, logic bombs, remote-access Trojans (RATs), and similar malicious code. The goal for the DMC tool ...
Detection of Malicious Code (DMC) is a tool for detecting potentially malicious behavior in C/C++ codebases using static information-flow analysis. The DMC tool detects two types of malicious code: (1 ...
Abstract: Few-shot object detection (FSOD) has attracted significant research attention in remote sensing due to its potential to reduce reliance on large annotated datasets. However, two challenges ...
State Key Laboratory of Marine Food Processing and Safety Control, Dalian Polytechnic University, Dalian 116034, Liaoning, China College of Food Science and Technology, Huazhong Agricultural ...
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