ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network

Sachin MehtaMohammad RastegariLinda ShapiroHannaneh Hajishirzi

   Papers with code   Abstract  PDF

We introduce a light-weight, power efficient, and general purpose convolutional neural network, ESPNetv2, for modeling visual and sequential data. Our network uses group point-wise and depth-wise dilated separable convolutions to learn representations from a large effective receptive field with fewer FLOPs and parameters... (read more)

Benchmarked Models

RANK
MODEL
REPO
CODE RESULT
PAPER RESULT
ε-REPRODUCED
BUILD
1
ESPNetv2 x2.0
72.1%
--
2
ESPNetv2 x1.5
69.2%
--
3
ESPNetv2 x1.25
67.9%
--
4
ESPNetv2 x1.0
66.1%
--
5
ESPNetv2 x0.5
57.7%
--