M2YOLOF: Based on effective receptive fields and multiple-in-single-out encoder for object detection

•The proposed M2YOLOF detects objects on one feature map and performs well on small objects.•The detection speed of our method is as fast as YOLOF, but more accurate.•Designing a Multi-in-Single-out attention encoder to improve representation from backbone.•Designing a dynamic sample selection method in combination with effective receptive fields.