Pytorch Implementation of "SMITE: Segment Me In TimE"
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Updated
Oct 25, 2024
Pytorch Implementation of "SMITE: Segment Me In TimE"
This repository contains the code used to create the results presented in the paper: "From Coarse to Fine-Grained Open-Set Recognition". We investigate the role of label granularity, semantic similarity, and hierarchical representations in open-set recognition (OSR) with an OSR-benchmark based on iNat2021.
Application profile based on DataCite 4.3 with support of fine granular and versioned data.
Demonstrating Vulkan CUDA Interop via cuMemMap APIs.
56920-Car-Fine-Granularity-Comments-Annotation-Data
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