Knowledge Graph
Silytics Knowledge Graph
See how models, datasets, papers and organizations connect. Every link comes from public metadata: papers named on a model card, datasets and base models named in its tags, and the organization that published it. Click any dot to re-center; the smaller outer ring is two steps away.
TIPSv2: Advancing Vision-Language Pretraining with Enhanced Patch-Text Alignment
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Connections
- CollectionStudio/tipsv2-l14 Modelcited by
- CollectionStudio/tipsv2-b14-dpt Modelcited by
- timm/vit_giant_patch14_reg1_tipsv2.webli Modelcited by
- google/tipsv2-l14 Modelcited by
- timm/vit_base_patch14_reg1_tipsv2.webli Modelcited by
- google/tipsv2-l14-dpt Modelcited by
- CollectionStudio/tipsv2-so400m14-dpt Modelcited by
- CollectionStudio/tipsv2-so400m14 Modelcited by
- google/tipsv2-b14 Modelcited by
- CollectionStudio/tipsv2-g14-dpt Modelcited by
- CollectionStudio/tipsv2-l14-dpt Modelcited by
- google/tipsv2-g14-dpt Modelcited by
- google/tipsv2-so400m14-dpt Modelcited by
- google/tipsv2-so400m14 Modelcited by
- google/tipsv2-g14 Modelcited by
- CollectionStudio/tipsv2-b14 Modelcited by
- google/tipsv2-b14-dpt Modelcited by
- CollectionStudio/tipsv2-g14 Modelcited by
- timm/vit_so400m_patch14_reg1_tipsv2.webli Modelcited by
- litert-community/TIPSv2-B14-DPT-LiteRT Modeltwo steps away
Relationships are extracted automatically from public metadata and may be incomplete or wrong. Absence of a link does not mean absence of a relationship. Intelligence · Compare models