[ECCV-2020-oral]-Semantic Flow for Fast and Accurate Scene Parsing
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Updated
Mar 12, 2024 - Python
[ECCV-2020-oral]-Semantic Flow for Fast and Accurate Scene Parsing
Implementation of Pyramid Attention Networks for Semantic Segmentation.
[4-5 FPS / Core m3 CPU only] [11 FPS / Core i7 CPU only] OpenVINO+DeeplabV3+LattePandaAlpha/LaptopPC. CPU / GPU / NCS. RealTime semantic-segmentaion. Python3.5+Tensorflow v1.11.0+OpenCV3.4.3+PIL
[1 FPS / CPU only] OpenVINO+ADAS+LattePandaAlpha. CPU / GPU / NCS. RealTime semantic-segmentaion. Python3.5+OpenCV3.4.3+PIL
This repository provides the official implementation for the publication "Abstract Flow for Temporal Semantic Segmentation on the Permutohedral Lattice"
Segmentation pipeline with several models. implemented in tensorflow 2.1 without copied code
3D reconstruction + 3D open vocablurary semantic segmentation all in onece
Domain Adaptation for semantic segmentation
Segmentation using DeepLabV3+
Tensorflow v1.11.0 and Python3.x compatible of ENet. GPU/CPU.
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