activity
20162025
most citedSoft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations

355 citations · 1.3k across the 14 of their papers we have counts for

collaborators
Showing 2016Show all

1 paper · 1 filter

cs.CV2016

Deep Structured Features for Semantic Segmentation

Michael Tschannen, Lukas Cavigelli, Fabian Mentzer +2

We propose a highly structured neural network architecture for semantic segmentation with an extremely small model size, suitable for low-power embedded and mobile platforms. Speci…