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EasyCV/docs/source/model_zoo_detection.md
Chen Jiayu e61488d319
Support ViTDet algo (#35) 
* adapt mmlab modules
* add vitdet
* support conv aggregation
* modify vitdet load pretrained
* support fp16
* modify defaultformatbundle
* modify aug
* bugfix sampler
* bugfix mmresize
* bugfix fp16&nonetype
* bugfix filterannotation
* support dlc
* bugfix dist
* bugfix detsourcecoco
* smodify mmdet_parse_losses
* bugfix nan
* bugfix eval
* bugfix data=nonetype
* modify resize_embed
* support vitdet_conv
* add vitdet_conv init_weight
* add test_vitdet
* uniform rand_another
* uniform use fp16 method
* add test_fp16

Co-authored-by: jiangnana.jnn <jiangnana.jnn@alibaba-inc.com>
2022-06-10 21:49:32 +08:00

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Detection Model Zoo

YOLOX

Pretrained on COCO2017 dataset.

Algorithm Config mAPval
0.5:0.95		 APval
50		 Download
YOLOX-s yolox_s_8xb16_300e_coco 40.0 58.9 model - log
YOLOX-m yolox_m_8xb16_300e_coco 46.3 64.9 model - log
YOLOX-l yolox_l_8xb8_300e_coco 48.9 67.5 model - log
YOLOX-x yolox_x_8xb8_300e_coco 50.9 69.2 model - log
YOLOX-tiny yolox_tiny_8xb16_300e_coco 31.5 49.2 model - log
YOLOX-nano yolox_nano_8xb16_300e_coco 26.5 42.6 model - log

ViTDet

Algorithm Config bbox_mAPval
0.5:0.95		 mask_mAPval
0.5:0.95		 Download
ViTDet_MaskRCNN vitdet_maskrcnn 50.57 44.96 model - log