Evaluation of Convolutional and Transformer-Based Detectors for Weed Detection in Tomato Plantations 事件

Evaluation of Convolutional and Transformer-Based Detectors for Weed Detection in Tomato Plantations arXiv:2605.00908v2 Announce Type: replace Abstract: This paper presents a comparative evaluation of convolutional and transformer-based object detection architectures for early weed detection in tomato plantations. Representative models from each paradigm are considered, including YOLOv26-nano, a recent variant of the YOLO family, and RT-DETR Large and RF-DETR Medium as transformer-based archite