[1] YOLOv5, https://github.com/ultralytics/yolov5[2] YOLOX: Exceeding YOLO Series in 2021, https://arxiv.org/abs/2107.08430[3] PP-YOLOE: An evolved version of YOLO, https://arxiv.org/abs/2203.16250[4] RepVGG: Making VGG-style ConvNets Great Again, https://arxiv.org/pdf/2101.03697[5] CSPNet: A New Backbone that can Enhance Learning Capability of CNN, https://arxiv.org/abs/1911.11929[6] Path aggregation network for instance segmentation, https://arxiv.org/abs/1803.01534[7] OTA: Optimal Transport Assignment for Object Detection, https://arxiv.org/abs/2103.14259[8] Computer Architecture: A Quantitative Approach[9] SIoU Loss: More Powerful Learning for Bounding Box Regression, https://arxiv.org/abs/2205.12740
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作者简介
楚怡、凯衡、亦非、程孟、秦皓、一鸣、红亮、林园等，均来自美团基础研发平台/视觉智能部。? THE END
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