RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
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Updated
Jun 1, 2019 - MATLAB
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
The official homepage of the (outdated) COCO-Stuff 10K dataset.
The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.
WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].
[TIP] Deep Label Distribution Learning with Label Ambiguity
CVPR2018 - pixel embedding & grouping for structured prediction, e.g., instance segmentation
Semantic Understanding of Foggy Scenes with Purely Synthetic Data
Pixel Attentional Gating for Parsimonious Per-Pixel Labeling
CVPR2018 - scene parsing network regulated by geometric prior
Domain Adaptation for Semantic Segmentation at Nighttime
Dataset and Evaluation Scripts for Obstacle Detection via Semantic Segmentation in a Marine Environment
Semantic segmentation and transfer learning using pretrained SalsaNext model in MATLAB
DeepLabv3+ inference and training in MATLAB for Semantic Segmentation
Semantic neural network to realize pixel-wise classification of 2D nano-material using Matlab
ICIP 2019 paper
Convert SYNTHIA data to Equirectangular format
Some notes from various research papers
Tool to create ground truth semantic segmentation masks using super pixels
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