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Hi,
I have been trying to replicate your results and I was able to do so with the Resnet-100 backbone on the glint360k dataset but not with the Resnet-50 backbone. This makes me wonder if you have…
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(evn_hello) D:\tensorflow1\models\research\object_detection>python train.py --lo
gtostderr --train_dir=training/ --pipeline_config_path=training/faster_rcnn_ince
ption_v2_pets.config
Traceback (m…
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Hi guys, great work!
I wanna try eff_b7 or resnet50 as backbone, but seems the code is default to swin.That if simply change backbone to eff_b7 or resnet, the assert inside model defination will rais…
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## Instructions To Reproduce the Issue:
Running any training script in DataParallel mode on more than 2 devices will eventually trigger self.to(device) method to be called on FPN and ResNet. Unfort…
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Hi,
I've been attempting to adapt your implementation of the residual model to do pixel-wise classification. It may be a long shot, but I was hoping I could ask you a few question and hoping for some…
Ssica updated
6 years ago
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Hi, wei, I have downloaded your code on my PC and use your code to test the training on ResNet18 using ImageNet Dataset to train from scratch. But I find it seems hard to convergence with the setting …
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Did you train or check the performance compared to original paper?
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sudo python train_cifar.py
WARNING:tensorflow:VARIABLES collection name is deprecated, please use GLOBAL_VARIABLES instead; VARIABLES will be removed after 2017-03-02.
Traceback (most recent …
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# 모델별 학습 기록(Acc/F1)
- https://nayohan.notion.site/07-30bd7e17f7f44b078d22342d21131d65
## 1. Torchvision models
- [ ] VGG-19 with batch normalization
- [x] `ResNet-18`: class weight, bactch siz…
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You mentioned in the paper that "TENET uses ResNet-50 pre-trained on ImageNet [5] and MS COCO [28]." I noticed that it also pre-trained on MS-COCO, does it mean that use the detector pre-trained model…