huggingface / huggingface/pixparse
[Explore] Vision architecture comparisons at 1280x960
- Dominant language
- Python
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Description
There are many possible vision arch to try other than the Donut choice of swin v1 or the common choice of vanilla (or modified) vit. Should make an effort to explore the options as we run experiments.
NOTE: exact weight instances TBD
* vit_base (original, clip, eva, beit variants)
* `vit_base_patch16_224.augreg_in21k`
* `vit_base_patch16_clip_224.datacompxl`
* `eva02_base_patch14_224.mim_in22k`
* convnext_base (w/o attention pooling)
* `convnext_base.clip_laiona_augreg_320`
* `convnext_base.fb_in22k`
* convnext_base (w/ attention pooling, needs work)
* TBD
* swin_base
*
* swinv2_base
*
* maxvit_small_tf
*
* maxvit_rmlp_small_rw
*
* coatnet_rmlp_2_rw_224
*
Possibly
* visformer_small
* davit_base
* caformer_b36 / caformer_m36
* convformer_b36 / convformer_b36
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