Methods > Computer Vision > Object Detection Models

Stand-Alone Self Attention

Introduced by Ramachandran et al. in Stand-Alone Self-Attention in Vision Models

Stand-Alone Self Attention (SASA) replaces all instances of spatial convolution with a form of self-attention applied to ResNet producing a fully, stand-alone self-attentional model.

Source: Stand-Alone Self-Attention in Vision Models

Latest Papers

PAPER DATE
Stand-Alone Self-Attention in Vision Models
| Prajit RamachandranNiki ParmarAshish VaswaniIrwan BelloAnselm LevskayaJonathon Shlens
2019-06-13

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TASK PAPERS SHARE
Object Detection 1 100.00%

Components

COMPONENT TYPE
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

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