Saliency-Guided RT-DETR for Multi-Class Detection in Processing Tomato Sorting
SG-RTDETR is proposed, an RT-DETRv2 adaptation that combines detail-preserving downsampling, saliency-guided token encoding with residual spatial refill, context-aware feature organization, and adaptive cross-scale fusion for tomato sorting under controlled laboratory conditions.