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# Image semantic understanding
Resnet50x16 Clip Gap.openai
Apache-2.0
A ResNet50x16 variant model based on the CLIP framework, focused on image feature extraction
Image Classification
Transformers
TransformersR
timm
129
0
Resnet50x4 Clip Gap.openai
Apache-2.0
ResNet50x4 variant model based on the CLIP framework, designed for image feature extraction
Image Classification Transformers
TransformersR
timm
170
0
Resnet50 Clip Gap.openai
Apache-2.0
A ResNet50 variant based on the visual encoder part of the CLIP model, extracting image features through Global Average Pooling (GAP)
Image Classification Transformers
TransformersR
timm
250
1
Cleandift
MIT
CleanDIFT is a novel diffusion model feature extraction method that extracts noise-free and time-step-independent features by directly processing clean input images.
Image Generation
C
CompVis
555
8
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