Dynamic neural networks in semantic segmentation

第二阶段第一次会议

1. Category

1.1 Pixel level

1) Dynamic convolution [1]

2) Early Exiting [2]

3) PointRend [3]

1.2 Sample level

1) Dynamic routing [4]

2) Early Exiting [5]

2. Multi-Exit Semantic Segmentation Networks

1) Arch design

2) Training strategies

3) Routing policies

3. A naive idea

segmenter + dynamic?

References

[1] Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation

[2] Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade

[3] PointRend: Image Segmentation as Rendering

[4] Learning Dynamic Routing for Semantic Segmentation

[5] Multi-Exit Semantic Segmentation Networks

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