AIが動く。未来が更新される。BiRefNet_dynamic
> An arbitrary shape adaptable BiRefNet for general segmentation. > This model was trained on arbitrary shapes (256x256 ~ 2304x2304) and shows great robustness on inputs with any shape. > How it looks when compared with BiRefNet-general (fixed 1024x1024 resolution) -- greater than BiRefNet-general and BiRefNet_HR-general on the reserved validation sets (DIS-VD and TE-P3M-500-NP). > The `dynamic_XXxXX` means this BiRefNet_dynamic model was being tested in various input resolutions for the evaluation. For performance of different epochs, check the eval_results-xxx folder for it on my google drive.
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> An arbitrary shape adaptable BiRefNet for general segmentation. > This model was trained on arbitrary shapes (256x256 ~ 2304x2304) and shows great robustness on inputs with any shape. > How it looks when compared with BiRefNet-general (fixed 1024x1024 resolution) -- greater than BiRefNet-general and BiRefNet_HR-general on the reserved validation sets (DIS-VD and TE-P3M-500-NP). > The `dynamic_XXxXX` means this BiRefNet_dynamic model was being tested in various input resolutions for the evaluation. For performance of different epochs, check the eval_results-xxx folder for it on my google drive.