BARNet: Bilinear Attention Network with Adaptive Receptive Fields for Surgical Instrument Segmentation.
Zhen-Liang NiGui-Bin BianGuan'an WangXiao-Hu ZhouZeng-Guang HouXiao-Liang XieZhen LiYu-Han WangPublished in: IJCAI (2020)
Keyphrases
- receptive fields
- natural images
- lateral inhibition
- saliency map
- biologically inspired
- visual attention
- image representation
- level set
- multiscale
- visual cortex
- image segmentation
- genetic algorithm
- fuzzy clustering
- input data
- dimensionality reduction
- input space
- high dimensional
- video sequences
- primary visual cortex
- smooth functions