image classification datasets that are used in my research.
Anke Tang
tanganke
AI & ML interests
None yet
Recent Activity
updated
a dataset
3 days ago
tanganke/cityscapes
published
a dataset
3 days ago
tanganke/cityscapes
updated
a model
4 days ago
tanganke/task_arithmetic_checkpoints
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 • 0.1B • Updated • 2.17k -
tanganke/clip-vit-base-patch32_stanford-cars
Feature Extraction • 0.1B • Updated • 1.54k • 1 -
tanganke/clip-vit-base-patch32_resisc45
Feature Extraction • 0.1B • Updated • 1.33k -
tanganke/clip-vit-base-patch32_eurosat
Feature Extraction • 0.1B • Updated • 1.85k
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 • 339 -
tanganke/clip-vit-large-patch14_stanford-cars
Feature Extraction • 0.3B • Updated • 332 -
tanganke/clip-vit-large-patch14_resisc45
Feature Extraction • 0.3B • Updated • 334 -
tanganke/clip-vit-large-patch14_eurosat
Feature Extraction • 0.3B • Updated • 338
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 • 0.1B • Updated • 2.17k -
tanganke/clip-vit-base-patch32_stanford-cars
Feature Extraction • 0.1B • Updated • 1.54k • 1 -
tanganke/clip-vit-base-patch32_resisc45
Feature Extraction • 0.1B • Updated • 1.33k -
tanganke/clip-vit-base-patch32_eurosat
Feature Extraction • 0.1B • Updated • 1.85k
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 • 339 -
tanganke/clip-vit-large-patch14_stanford-cars
Feature Extraction • 0.3B • Updated • 332 -
tanganke/clip-vit-large-patch14_resisc45
Feature Extraction • 0.3B • Updated • 334 -
tanganke/clip-vit-large-patch14_eurosat
Feature Extraction • 0.3B • Updated • 338
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)