• Task 3 - Word Recognition - Method: Baidu IDL
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Sample Ranking	Edit distance (case sensitive)	Normalized (case sensitive)	E.D. (case insensitive)	Normalized (case insensitive)	GroundTruth	Detection
SAR tf-reproduce	8	1.00	2	0.25	VEICHLES	vehicles
transformer-based method	8	1.00	2	0.25	VEICHLES	vehicles
SAR_tensorflow_reproduced	8	1.00	2	0.25	VEICHLES	vehicles
MAPS	2	0.25	2	0.25	VEICHLES	VEHICLES
NESP	2	0.25	2	0.25	VEICHLES	VEHICLES
DSM	2	0.25	2	0.25	VEICHLES	VEHICLES
Megvii-Image++	2	0.25	2	0.25	VEICHLES	VEHICLES
SRC-B-TextProcessingLab	2	0.25	2	0.25	VEICHLES	VEHICLES
Baidu IDL	2	0.25	2	0.25	VEICHLES	VEHICLES
HIK_OCR	2	0.25	2	0.25	VEICHLES	VEHICLES
HIK_OCR_v2	2	0.25	2	0.25	VEICHLES	VEHICLES
HKU-VisionLab	2	0.25	2	0.25	VEICHLES	VEHICLES
Tencent-DPPR Team & USTB-PRIR	2	0.25	2	0.25	VEICHLES	VEHICLES
Baidu IDL v2	2	0.25	2	0.25	VEICHLES	VEHICLES
HIK_OCR_v3	2	0.25	2	0.25	VEICHLES	VEHICLES
Baidu IDL v3	2	0.25	2	0.25	VEICHLES	VEHICLES
CNN+LSTM	2	0.25	2	0.25	VEICHLES	VEHICLES
Baidu VIS	2	0.25	2	0.25	VEICHLES	VEHICLES
Alibaba-PAI	2	0.25	2	0.25	VEICHLES	VEHICLES
Clova AI / Lens	2	0.25	2	0.25	VEICHLES	VEHICLES
Alibaba-PAI V2	2	0.25	2	0.25	VEICHLES	VEHICLES
SAR	2	0.25	2	0.25	VEICHLES	VEHICLES
juxinli	2	0.25	2	0.25	VEICHLES	VEHICLES
Sogou_OCR	2	0.25	2	0.25	VEICHLES	VEHICLES
SogouMM	2	0.25	2	0.25	VEICHLES	VEHICLES
test 1	2	0.25	2	0.25	VEICHLES	VEHICLES
Hancom Vision	2	0.25	2	0.25	VEICHLES	VEHICLES
Shopee MMU OCR	2	0.25	2	0.25	VEICHLES	VEHICLES
Dahua OCR	0	0.00	0	0.00	VEICHLES	VEICHLES
FiberHome	0	0.00	0	0.00	VEICHLES	VEICHLES