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External Prompt Features Enhanced Parameter-efficient Fine-tuning for Salient Object Detection
To better harness the potential of transformers for SOD, we propose a novel parameter-efficient fine-tuning method aimed at reducing the number of training parameters while enhancing the salient object detection capability.
Harnessing Intra-group Variations Via a Population-Level Context for Pathology Detection
Realizing sufficient separability between the distributions of healthy and pathological samples is a critical obstacle for pathology detection convolutional models.
IRFundusSet: An Integrated Retinal Fundus Dataset with a Harmonized Healthy Label
Ocular conditions are a global concern and computational tools utilizing retinal fundus color photographs can aid in routine screening and management.
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