UC Berkeley & Google’s BoTNet Applies Self-Attention to CV Bottlenecks | UC Berkeley & Google's BoTNet Applies Self-Attention to CV BottlenecksSynced
Researchers from UC Berkeley and Google Research have introduced BoTNet, a “conceptually simple yet powerful” backbone architecture that boosts performance on computer vision (CV) tasks...
Source: Synced | AI Technology & Industry Review
Researchers from UC Berkeley and Google Research have introduced BoTNet, a “conceptually simple yet powerful” backbone architecture that boosts performance on computer vision (CV) tasks such as image classification, object detection and instance segmentation.