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binocular_pr...
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configs
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quick_schedules
LiuJi d0f641a2a0 init 1 anno fa
..
README.md d0f641a2a0 init 1 anno fa
cascade_mask_rcnn_R_50_FPN_inference_acc_test.yaml d0f641a2a0 init 1 anno fa
cascade_mask_rcnn_R_50_FPN_instant_test.yaml d0f641a2a0 init 1 anno fa
fast_rcnn_R_50_FPN_inference_acc_test.yaml d0f641a2a0 init 1 anno fa
fast_rcnn_R_50_FPN_instant_test.yaml d0f641a2a0 init 1 anno fa
keypoint_rcnn_R_50_FPN_inference_acc_test.yaml d0f641a2a0 init 1 anno fa
keypoint_rcnn_R_50_FPN_instant_test.yaml d0f641a2a0 init 1 anno fa
keypoint_rcnn_R_50_FPN_normalized_training_acc_test.yaml d0f641a2a0 init 1 anno fa
keypoint_rcnn_R_50_FPN_training_acc_test.yaml d0f641a2a0 init 1 anno fa
mask_rcnn_R_50_C4_GCV_instant_test.yaml d0f641a2a0 init 1 anno fa
mask_rcnn_R_50_C4_inference_acc_test.yaml d0f641a2a0 init 1 anno fa
mask_rcnn_R_50_C4_instant_test.yaml d0f641a2a0 init 1 anno fa
mask_rcnn_R_50_C4_training_acc_test.yaml d0f641a2a0 init 1 anno fa
mask_rcnn_R_50_DC5_inference_acc_test.yaml d0f641a2a0 init 1 anno fa
mask_rcnn_R_50_FPN_inference_acc_test.yaml d0f641a2a0 init 1 anno fa
mask_rcnn_R_50_FPN_instant_test.yaml d0f641a2a0 init 1 anno fa
mask_rcnn_R_50_FPN_pred_boxes_training_acc_test.yaml d0f641a2a0 init 1 anno fa
mask_rcnn_R_50_FPN_training_acc_test.yaml d0f641a2a0 init 1 anno fa
panoptic_fpn_R_50_inference_acc_test.yaml d0f641a2a0 init 1 anno fa
panoptic_fpn_R_50_instant_test.yaml d0f641a2a0 init 1 anno fa
panoptic_fpn_R_50_training_acc_test.yaml d0f641a2a0 init 1 anno fa
retinanet_R_50_FPN_inference_acc_test.yaml d0f641a2a0 init 1 anno fa
retinanet_R_50_FPN_instant_test.yaml d0f641a2a0 init 1 anno fa
rpn_R_50_FPN_inference_acc_test.yaml d0f641a2a0 init 1 anno fa
rpn_R_50_FPN_instant_test.yaml d0f641a2a0 init 1 anno fa
semantic_R_50_FPN_inference_acc_test.yaml d0f641a2a0 init 1 anno fa
semantic_R_50_FPN_instant_test.yaml d0f641a2a0 init 1 anno fa
semantic_R_50_FPN_training_acc_test.yaml d0f641a2a0 init 1 anno fa

README.md

These are quick configs for performance or accuracy regression tracking purposes.