tuofeilun
654554cf65
support obj365 ( #242 )
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Support Objects365 pretrain and Adding the DINO++ model can achieve an accuracy of 63.4mAP at a model scale of 200M(Under the same scale, the accuracy is the best)
2022-12-02 14:33:01 +08:00
Cathy0908
54e9571423
add BEVFormer ( #203 )
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* add BEVFormer and benchmark
2022-10-24 17:20:12 +08:00
tuofeilun
b198c5a81f
support DINO algo ( #144 )
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dino_4sc_r50_12e：48.71
dino_4sc_r50_24e：50.53
dino_4sc_r50_36e：50.69
dino_4sc_swinl_12e: 56.86
dino_4sc_swinl_36e: 58.04
dino_5sc_swinl_36e: 58.47
2022-08-31 15:18:11 +08:00
Chen Jiayu
9517bb80ff
add dn_detr algo ( #119 )
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support dn-detr-r50: 44.39
refactor set_criterion
2022-07-27 15:06:06 +08:00
Chen Jiayu
5fb0a86f69
support fcos ( #100 )
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support fcos(38.57)
2022-07-12 18:07:02 +08:00
Chen Jiayu
0b472bacf1
refactor detection, support detr and dab-detr ( #104 )
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refactor detection, support detr and dab-detr
2022-07-11 14:52:49 +08:00
Xiaohe You
10266f54a7
update quantize.py code version ( #44 )
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* compression tutorial
* add details of compression tutorial
* add env of compression tutorial
* update quantize.py code version
2022-05-07 16:07:07 +08:00
wenmeng.zwm
055deba53e
initial commit
2022-04-02 20:01:06 +08:00
