Open mikel-brostrom opened 1 year ago
fuse_score
results:
HOTA: exp368-pedestrian HOTA DetA AssA DetRe DetPr AssRe AssPr LocA OWTA HOTA(0) LocA(0) HOTALocA(0)
COMBINED 56.389 54.99 58.369 59.847 76.449 63.768 79.252 82.086 59.019 72.889 77.075 56.18
CLEAR: exp368-pedestrian MOTA MOTP MODA CLR_Re CLR_Pr MTR PTR MLR sMOTA CLR_TP CLR_FN CLR_FP IDSW MT PT ML Frag
COMBINED 65.496 79.602 65.771 72.027 92.008 35.95 46.281 17.769 50.804 67501 26215 5863 258 174 224 86 1651
Identity: exp368-pedestrian IDF1 IDR IDP IDTP IDFN IDFP
COMBINED 70.634 62.965 80.432 59008 34708 14356
fuse_motion
results:
HOTA: exp368-pedestrian HOTA DetA AssA DetRe DetPr AssRe AssPr LocA OWTA HOTA(0) LocA(0) HOTALocA(0)
COMBINED 54.251 54.57 54.529 59.663 75.919 60.838 74.501 82.033 56.931 70.248 76.793 53.946
CLEAR: exp368-pedestrian MOTA MOTP MODA CLR_Re CLR_Pr MTR PTR MLR sMOTA CLR_TP CLR_FN CLR_FP IDSW MT PT ML Frag
COMBINED 64.507 79.602 65.362 71.975 91.586 36.777 46.694 16.529 49.825 67452 26264 6197 802 178 226 80 2044
Identity: exp368-pedestrian IDF1 IDR IDP IDTP IDFN IDFP
COMBINED 67.47 60.247 76.662 56461 37255 17188
with my custom object detection and ReID models
What is the rationale behind this performance drop?
Why is it that
fuse_motion
, i.e.:Gives much worse results than
fuse_score
:Given that both uses motion information (in the form of KF state distribution and IoU gating, respectively)