Submission: FCOS-CDPN-PBR/IC-BIN

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Submission name
Submission time (UTC) July 23, 2022, 9:55 a.m.
User Yang-hai
Task 2D detection of seen objects
Dataset IC-BIN
Training model type None
Training image type Synthetic (only PBR images provided for BOP Challenge 2020 were used)
Description
Evaluation scores
AP:0.272
AP50:0.500
AP75:0.271
AP_large:0.491
AP_medium:0.291
AP_small:0.030
AR1:0.072
AR10:0.341
AR100:0.452
AR_large:0.663
AR_medium:0.472
AR_small:0.245
average_time_per_image:0.041

Method: FCOS-CDPN-PBR

User Yang-hai
Publication CVPR-2019
Implementation https://github.com/LZGMatrix/BOP19_CDPN_2019ICCV/tree/bop2020
Training image modalities RGB
Test image modalities RGB
Description

As CDPN provides the trained detectors(FCOS+VoVNet 57) used in the 2020 6D Pose challenge, we test them to provide more comprehensive results for the detection track.

Computer specifications NVIDIA 3090