Issues
- 1
pretrained weights for Faster-RCNN
#30 opened by zcablii - 1
radar diagram code
#31 opened by xiejingcheng - 0
pretrained model weights
#29 opened by zcablii - 4
tools/inference.py
#28 opened by PolarisFTL - 3
loss stucked at 3.0
#26 opened by ddeellttaa - 3
cuda version
#27 opened by PolarisFTL - 0
ModuleNotFoundError: No module named 'AlignDet'
#25 opened by Felix-fz - 1
- 2
About Box-domain Contrastive Learning
#23 opened by NewbeeFL - 4
ModuleNotFoundError: No module named 'AlignDet'
#22 opened by hit-lyw - 2
How to understand the experiments in Table2?
#21 opened by pILLOW-1 - 1
About other framework.
#20 opened by JoaquinChou - 3
Evaluation of transfer learning capabilities compared to MS COCO pre-training?
#19 opened by stwerner97 - 4
- 3
- 3
convert model
#16 opened by wangsun1996 - 1
Pretrain
#17 opened by wangsun1996 - 5
- 1
- 1
Performance test
#14 opened by wangsun1996 - 1
- 1
filtered_proposals
#12 opened by wangsun1996 - 2
Hello, here I want to test the effect of Faster-R CNN fine tuning, but do not see the weight parameter?
#10 opened by luoyq6 - 2
About DETR Align
#8 opened by becauseofAI - 2
- 2
- 7
AttributeError: SelfSupDeformableDETR: SelfSupDeformableDETRHead: 'ContrastiveLoss' object has no attribute 'use_sigmoid'
#4 opened by smarengin - 3
where can i download the file 'train2017_ratio3size0008@0.5_cluster-id-as-class.json' in configs\selfsup\detr.py
#3 opened by smarengin - 1
about the pseudo-semantic labels of DETR
#5 opened by smarengin - 1
mmdet框架下的模型能否用于ultralytic的YOLO系列做预训练模型?
#2 opened by Nabyssache - 2