image classification datasets that are used in my research.
Anke Tang
tanganke
AI & ML interests
None yet
Recent Activity
published
a model
less than a minute ago
fusion-bench/resnet152-pcam-batch_size_64_lr_0.01_training_data_ratio_1.0-4000
updated
a model
less than a minute ago
fusion-bench/resnet152-pcam-batch_size_64_lr_0.01_training_data_ratio_1.0-3000
published
a model
1 minute ago
fusion-bench/resnet152-pcam-batch_size_64_lr_0.01_training_data_ratio_1.0-3000
Organizations
if you find these models helpful, consider citing [our paper](https://arxiv.org/abs/2406.03280)
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tanganke/clip-vit-base-patch32_sun397
Feature Extraction • 87.5M • Updated • 5.42k -
tanganke/clip-vit-base-patch32_stanford-cars
Feature Extraction • 87.5M • Updated • 5.29k • • 2 -
tanganke/clip-vit-base-patch32_resisc45
Feature Extraction • 87.5M • Updated • 5.25k -
tanganke/clip-vit-base-patch32_eurosat
Feature Extraction • 87.5M • Updated • 5.29k
base_model = CLIPVisionModel.from_pretrained('openai/clip-vit-base-patch16')
model = PeftModel.from_pretrained(base_model, peft_model_id)
if you find these models helpful, consider citing [our paper](https://arxiv.org/abs/2406.03280)
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tanganke/clip-vit-large-patch14_sun397
Feature Extraction • 0.3B • Updated • 574 -
tanganke/clip-vit-large-patch14_stanford-cars
Feature Extraction • 0.3B • Updated • 588 -
tanganke/clip-vit-large-patch14_resisc45
Feature Extraction • 0.3B • Updated • 569 -
tanganke/clip-vit-large-patch14_eurosat
Feature Extraction • 0.3B • Updated • 594
if you find these models helpful, consider citing [our paper](https://arxiv.org/abs/2406.03280)
if you find these models helpful, consider citing [our paper](https://arxiv.org/abs/2406.03280)
Eight image classification tasks are widely used for multi-task model merging. https://tanganke.github.io/fusion_bench/modelpool/clip_vit/
if you find these models helpful, consider citing [our paper](https://arxiv.org/abs/2406.03280)
if you find these models helpful, consider citing [our paper](https://arxiv.org/abs/2406.03280)
image classification datasets that are used in my research.
Eight image classification tasks are widely used for multi-task model merging. https://tanganke.github.io/fusion_bench/modelpool/clip_vit/
if you find these models helpful, consider citing [our paper](https://arxiv.org/abs/2406.03280)
-
tanganke/clip-vit-base-patch32_sun397
Feature Extraction • 87.5M • Updated • 5.42k -
tanganke/clip-vit-base-patch32_stanford-cars
Feature Extraction • 87.5M • Updated • 5.29k • • 2 -
tanganke/clip-vit-base-patch32_resisc45
Feature Extraction • 87.5M • Updated • 5.25k -
tanganke/clip-vit-base-patch32_eurosat
Feature Extraction • 87.5M • Updated • 5.29k
base_model = CLIPVisionModel.from_pretrained('openai/clip-vit-base-patch16')
model = PeftModel.from_pretrained(base_model, peft_model_id)
if you find these models helpful, consider citing [our paper](https://arxiv.org/abs/2406.03280)
-
tanganke/clip-vit-large-patch14_sun397
Feature Extraction • 0.3B • Updated • 574 -
tanganke/clip-vit-large-patch14_stanford-cars
Feature Extraction • 0.3B • Updated • 588 -
tanganke/clip-vit-large-patch14_resisc45
Feature Extraction • 0.3B • Updated • 569 -
tanganke/clip-vit-large-patch14_eurosat
Feature Extraction • 0.3B • Updated • 594
if you find these models helpful, consider citing [our paper](https://arxiv.org/abs/2406.03280)
if you find these models helpful, consider citing [our paper](https://arxiv.org/abs/2406.03280)
if you find these models helpful, consider citing [our paper](https://arxiv.org/abs/2406.03280)
if you find these models helpful, consider citing [our paper](https://arxiv.org/abs/2406.03280)