Microsoft Asia’s Swin Transformer V2 Scales the Award-Winning ViT to 3 Billion Parameters and Achieves SOTA Performance on Vision Benchmarks | Synced
Microsoft Research Asia has upgraded their Swin Transformer with a new version featuring three billion parameters to train images with resolutions up to 1,536 x 1,536 and advance the SOTA on four r...
Source: Synced | AI Technology & Industry Review
Microsoft Research Asia has upgraded their Swin Transformer with a new version featuring three billion parameters to train images with resolutions up to 1,536 x 1,536 and advance the SOTA on four representative vision benchmarks.