rtmdet

RTMDet

Abstract

Our tech-report will be released soon.

Results and Models

Backbone	size	SyncBN	box AP	Params(M)	FLOPS(G)	TRT-FP16-Latency(ms)	Config	Download
RTMDet-tiny	640	Yes	40.9	4.8	8.1	0.98	config	model | log
RTMDet-s	640	Yes	44.5	8.89	14.8	1.22	config	model | log
RTMDet-m	640	Yes	49.1	24.71	39.27	1.62	config	model | log
RTMDet-l	640	Yes	51.3	52.3	80.23	2.44	config	model | log
RTMDet-x	640	Yes	52.6	94.86	141.67	3.10	config	model | log

Note:

1. The inference speed is measured on an NVIDIA 3090 GPU with TensorRT 8.4.3, cuDNN 8.2.0, FP16, batch size=1, and without NMS.
2. We still directly use the weights trained by mmdet currently. A re-trained model will be released later.