BiRefNet
A deep learning model for high-resolution image segmentation, known for its strong performance on edge details and transparent objects, with extensive use of deformable convolution in its architecture.
Timeline (last 90 days)
Some developers have attempted to deploy the BiRefNet model on Qualcomm mobile GPUs and NPUs, but compilation to the NPU failed entirely and performance on the GPU was also unsatisfactory; the goal is to achieve sub-second latency on these chips.
BiRefNet is a model for high-resolution image segmentation, known for its excellent edge detail and handling of transparent objects.
The BiRefNet architecture makes extensive use of deformable convolutions.
As of the time of posting, the developer had not received a clear reply; there are also few publicly available cases of BiRefNet being successfully deployed on mobile NPUs.
All Facts (4)
BiRefNet is a model for high-resolution image segmentation, known for its excellent edge detail and handling of transparent objects.
50%UnverifiedThe BiRefNet architecture makes extensive use of deformable convolutions.
50%UnverifiedAs of the time of posting, the developer had not received a clear reply; there are also few publicly available cases of BiRefNet being successfully deployed on mobile NPUs.
50%UnverifiedSome developers have attempted to deploy the BiRefNet model on Qualcomm mobile GPUs and NPUs, but compilation to the NPU failed entirely and performance on the GPU was also unsatisfactory; the goal is to achieve sub-second latency on these chips.
50%