Ecosyste.ms: Issues
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GitHub / microsoft/SimMIM issues and pull requests
#42 - Fix the packages versions
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State: open - Opened by ivanpanshin 5 months ago
#41 - About mask_token in SimMIM codes
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State: open - Opened by YangGangZhiQi about 1 year ago
#40 - inverse swin
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State: open - Opened by betterze over 1 year ago
- 1 comment
#39 - 用自监督结果的预训练权重对下游任务精度影响
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State: open - Opened by swjtulinxi over 1 year ago
#38 - How can I solve this problem
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State: open - Opened by haibo12 about 2 years ago
- 2 comments
#37 - Could you provide the pretrained ViT-Base model with patch size 16?
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State: open - Opened by irsLu about 2 years ago
#36 - Setting for Linear eval
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State: open - Opened by tonysy over 2 years ago
#35 - Tt
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State: closed - Opened by Kingris9090 over 2 years ago
#34 - any plan to release the code of DDP training of swinV2-G with multi machine?
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State: open - Opened by dongzhiwu over 2 years ago
#33 - Questions about AvgDist
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State: open - Opened by yjsunnn over 2 years ago
#32 - Any plan to support 3D version?
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State: open - Opened by james20141606 over 2 years ago
#31 - The specific configs and code for downstream tasks, like semantic segmentation and object detection
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State: open - Opened by Haoqing-Wang over 2 years ago
#30 - Why Swin-Large-W12 contains [36, 36] `encoder.layers.3.blocks.0.attn.relative_position_index`
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State: open - Opened by nijkah over 2 years ago
- 1 comment
#29 - Indentation bug in utils.remap_pretrained_keys_vit
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State: open - Opened by BradMcDanel over 2 years ago
#28 - Performance using the cosine distance
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State: open - Opened by LiyaoTang over 2 years ago
#27 - Train from scratch
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State: open - Opened by naoki7090624 almost 3 years ago
- 1 comment
#26 - Why there is "no_weight_decay" function for Swin-T but not for VIT
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State: open - Opened by TongZhangTHU almost 3 years ago
#25 - Could you please release the pre-trained R50 model?
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State: open - Opened by liming-ai almost 3 years ago
#24 - For cnn architecture like resnet50
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State: closed - Opened by Rui-Zhou-2 almost 3 years ago
- 1 comment
#23 - a bug in loading pretrain checkpoint , in utils.py line 118, you dont use checkpoint in line 111
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State: closed - Opened by BAILUXIN almost 3 years ago
#22 - when training, here happens 'Gradient overflow. Skipping step, loss scaler 0 reducing loss scale to'
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State: open - Opened by ucasyjz almost 3 years ago
- 1 comment
#21 - SimMIM with Absolute Position Embedding
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State: open - Opened by hemangchawla almost 3 years ago
#21 - SimMIM with Absolute Position Embedding
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State: open - Opened by hemangchawla almost 3 years ago
#20 - can not reproduce your results. trained from your released pre-trained vit-base model
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State: open - Opened by leoozy almost 3 years ago
- 1 comment
#19 - Geometric interpolation ViT
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State: open - Opened by hemangchawla almost 3 years ago
- 1 comment
#18 - Plan to implement downstream tasks
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State: open - Opened by youngwanLEE almost 3 years ago
#17 - 192x192 pretraining resolution
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State: open - Opened by christophschuhmann almost 3 years ago
#16 - Inconsistency of ViT-base config as described in the paper
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State: open - Opened by Jiahao000 about 3 years ago
#15 - Loss goes nan after 14 epochs
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State: open - Opened by DianCh about 3 years ago
- 1 comment
#14 - linear probe
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State: open - Opened by aaronsarna about 3 years ago
- 7 comments
#13 - Allow arbitrary-sized images by dynamic masking: upstream changes from Swin-Transformer-Object-Detection / SOLQ
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State: open - Opened by vadimkantorov about 3 years ago
- 2 comments
#12 - How can you resolve the mismatch of patch_size in <patch_embed> module between pretrained model and finetuned model?
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State: closed - Opened by hao-pt about 3 years ago
- 2 comments
#11 - Confusion about fine-tune
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State: closed - Opened by Breeze-Zero about 3 years ago
- 8 comments
#10 - why masking embedding feature maps but not input images
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State: closed - Opened by baibaidj about 3 years ago
- 5 comments
#9 - Could you please release the mask prediction visualization code?
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State: closed - Opened by maxuetao about 3 years ago
- 1 comment
#8 - USE_RPB and USE_SHARED_RPB are inconsistent in pretrain and finetune
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State: closed - Opened by haooooooqi about 3 years ago
- 1 comment
#7 - Could you please release the finetune log of swin and vit?
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State: open - Opened by zws98 about 3 years ago
#6 - Can you release training log for ViT 800 epochs?
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State: open - Opened by gaopengcuhk about 3 years ago
- 1 comment
#5 - About data augment
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State: closed - Opened by peiyingxin about 3 years ago
- 1 comment
#4 - Information about relative positional encoding
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State: closed - Opened by marc345 about 3 years ago
- 1 comment
#3 - Missing hyperparameter
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State: closed - Opened by haofanwang about 3 years ago
- 1 comment
#2 - A question about masking strategy
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State: closed - Opened by xiaohu2015 about 3 years ago
- 1 comment
#1 - When will you release the code for pre-training
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State: closed - Opened by BaohaoLiao over 3 years ago
- 1 comment