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Spirit Distillation: Precise Real-time Semantic Segmentation of Road
  Scenes with Insufficient Data

Spirit Distillation: Precise Real-time Semantic Segmentation of Road Scenes with Insufficient Data

25 March 2021
Zhiyuan Wu
Yu-Gang Jiang
Chupeng Cui
Zongmin Yang
Xinhui Xue
Hong Qi
ArXivPDFHTML

Papers citing "Spirit Distillation: Precise Real-time Semantic Segmentation of Road Scenes with Insufficient Data"

4 / 4 papers shown
Title
Knowledge Distillation in Federated Edge Learning: A Survey
Knowledge Distillation in Federated Edge Learning: A Survey
Zhiyuan Wu
Sheng Sun
Yuwei Wang
Min Liu
Xue Jiang
Runhan Li
Bo Gao
FedML
37
4
0
14 Jan 2023
FedICT: Federated Multi-task Distillation for Multi-access Edge Computing
FedICT: Federated Multi-task Distillation for Multi-access Edge Computing
Zhiyuan Wu
Sheng Sun
Yuwei Wang
Min Liu
Quyang Pan
Xue Jiang
Bo Gao
42
32
0
01 Jan 2023
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
541
11,727
0
09 Mar 2017
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
475
15,657
0
02 Nov 2015
1