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Found 4 papers, 1 papers with code
VisionFM: a Multi-Modal Multi-Task Vision Foundation Model for Generalist Ophthalmic Artificial Intelligence
To be commensurate with this capacity, in addition to the real data used for pre-training, we also generated and leveraged synthetic ophthalmic imaging data.
Linguistic Query-Guided Mask Generation for Referring Image Segmentation
Referring image segmentation aims to segment the image region of interest according to the given language expression, which is a typical multi-modal task.
GB-CosFace: Rethinking Softmax-based Face Recognition from the Perspective of Open Set Classification
Our GB-CosFace introduces an adaptive global boundary to determine whether two face samples belong to the same identity so that the optimization objective is aligned with the testing process from the perspective of open set classification.
Batch DropBlock Network for Person Re-identification and Beyond
In this paper, we propose the Batch DropBlock (BDB) Network which is a two branch network composed of a conventional ResNet-50 as the global branch and a feature dropping branch.
Ranked #8 on
Person Re-Identification
on Market-1501-C
