IEEE

Joint Image Enhancement for Underwater Object Detection in Various Domains

Abstract: Underwater environments present significant challenges, such as image degradation and domain discrepancies, that severely impact object detection performance. Traditional approaches often ...
IEEE

MonoGSDet: Monocular 3D Object Detection With Gaussian Splatting in Autonomous Driving

Abstract: Monocular 3D object detection has gained considerable attention because of its cost-effectiveness and practical applicability, particularly in autonomous driving and robotics. Most of ...
Frontiers

Robust federated learning for UAV object detection: a joint self-distillation and drift compensation approach

The rapid advancement of unmanned aerial vehicles (UAVs) in disaster response and environmental monitoring has underscored the growing importance of real-time object detection within UAV swarm ...
GitHub

EAGLE: Expert-Augmented Attention Guidance for Tuning-Free Industrial Anomaly Detection in Multimodal Large Language Models

We propose EAGLE, a tuning-free framework for anomaly detection. The framework comprises two core components: (1) a PatchCore-based expert model that performs preliminary anomaly detection and ...
CNX Software

PycoClaw – A MicroPython-based OpenClaw implementation for ESP32 and other microcontrollers

PycoClaw is a MicroPython-based platform for running AI agents on ESP32 and other microcontrollers that brings OpenClaw workspace-compatible intelligence to resource-constrained embedded devices. We ...