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hi, could i ask the difference between HAT_SRx4_ImageNet-pretrain.pth and HAT_SRx4.pth? I couldn't find an introduction for different model versions. Thanks a lot.
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I trained a 2D resnet101 on kinetics dataset, and it has much better accuracy than your 3D resent. I used https://github.com/gurkirt/2D-kinectics to train 2D resnet. Of course, pretrained on imagenet.…
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Your project is attempt to fine-tune a model with cosmology knowledge, and I checked your history, it seems you tried to overfit the QA dataset you generated and other SFT datasets, I wondered have yo…
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Hello,
Thank you so much for this great repo. Everything works beautifully so far.
I was wondering if you guys are interested in porting pytorch ViT model from a 2021 NeurlIPS paper "ImageNet-2…
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Dataset: Fishnet
Data: 100%
Model: Best iNat21 with hierarchical multitask pretraining
Use a pre-trained swin-v2-base model pre-trained on iNat21 with hierarchical multitask loss with the best va…
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I'm trying to run the evaluation on NYUv2 (without pretraining on Hypersim), but I keep receiving this error, I had the problem discussed in https://github.com/TUI-NICR/EMSANet/issues/16
So I comme…
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why it need pretrain step?
ghost updated
5 years ago
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I found the the script called "single_branch_pretraining_coco_pvt_v2_b2_li.sh" runs faster_rcnn_train_net.py, but two_branch_few_shot_finetuning_coco_pvt_v2_b2_li.sh runs fsod_train_net.py? is it righ…
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I wonder whether this codes have recurrented the effect the same as the paper described.And when do you plan to submit your pre-trained model ,thanks a lot.
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Hi authors,
Congratulations on your great work! I have read through the paper. I found that there is no description on the source of dataset used for pre-training. Can you please share some informa…