Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing ...
Abstract: Large-scale high-resolution remote sensing images (LSHR) are increasingly adopted for object detection, since they capture finer details. However, LSHR imposes a substantial computational ...
Abstract: Source-free domain adaptive object detection (SFOD) enables detectors trained on a source domain to be deployed to unlabeled target domains without access to the source data, thus addressing ...
The DINOv3 codebase includes several task-specific heads for a variety of tasks, including classification, depth estimation, object detection, and semantic segmentation. The initial focus of this ...
This project is an object detection and counting system designed to track and count objects (e.g., gunny bags) in a video using the YOLO (You Only Look Once) model. The system processes video frames, ...
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