Image Models

Res2Net

Introduced by Gao et al. in Res2Net: A New Multi-scale Backbone Architecture

Res2Net is an image model that employs a variation on bottleneck residual blocks. The motivation is to be able to represent features at multiple scales. This is achieved through a novel building block for CNNs that constructs hierarchical residual-like connections within one single residual block. This represents multi-scale features at a granular level and increases the range of receptive fields for each network layer.

Source: Res2Net: A New Multi-scale Backbone Architecture

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