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Found 3 papers, 2 papers with code
LayoutBERT: Masked Language Layout Model for Object Insertion
We demonstrate the effectiveness of our approach for object insertion in the image compositing setting and other settings like documents and design templates.
CLIP-Art: Contrastive Pre-training for Fine-Grained Art Classification
Existing computer vision research in artwork struggles with artwork's fine-grained attributes recognition and lack of curated annotated datasets due to their costly creation.
Exploring Vision Transformers for Fine-grained Classification
In this work, we propose a multi-stage ViT framework for fine-grained image classification tasks, which localizes the informative image regions without requiring architectural changes using the inherent multi-head self-attention mechanism.
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