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Found 3 papers, 1 papers with code
Conditional Cross Attention Network for Multi-Space Embedding without Entanglement in Only a SINGLE Network
Many studies in vision tasks have aimed to create effective embedding spaces for single-label object prediction within an image.
Boosting vision transformers for image retrieval
(4) We enhance locality of interactions at the deeper layers of the encoder, which is the relative weakness of vision transformers.
All the attention you need: Global-local, spatial-channel attention for image retrieval
Apart from backbone, training pipelines and loss functions, popular approaches have focused on different spatial pooling and attention mechanisms, which are at the core of learning a powerful global image representation.
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