A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes
YangZhang4065/AdaptationSeg
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Hence, we propose a curriculum-style learning approach to minimizing the domain gap in urban scene semantic segmentation.
SLIC-UAV: A Method for monitoring recovery in tropical restoration projects through identification of signature species using UAVs
To demonstrate SLIC-UAV, support vector machines and random forests were used to predict the species of hand-labelled crowns in a restoration concession in Indonesia.
Affinity Fusion Graph-based Framework for Natural Image Segmentation
The proposed framework combines adjacency-graphs and kernel spectral clustering based graphs (KSC-graphs) according to a new definition named affinity nodes of multi-scale superpixels.
Machine learning of hierarchical clustering to segment 2D and 3D images
We aim to improve segmentation through the use of machine learning tools during region agglomeration.
SEEDS: Superpixels Extracted via Energy-Driven Sampling
We define a robust and fast to evaluate energy function, based on enforcing color similarity between the bound- aries and the superpixel color histogram.
Lazy Random Walks for Superpixel Segmentation
Then, the boundaries of initial superpixels are obtained according to the probabilities and the commute time.
A Context-aware Delayed Agglomeration Framework for Electron Microscopy Segmentation
In particular, given an over-segmented image or volume, we propose a novel framework for accurately clustering regions of the same neuron.
Feedforward semantic segmentation with zoom-out features
fhalamos/semantic-segmentation-with-cnn
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CVPR 2015
We introduce a purely feed-forward architecture for semantic segmentation.
Image Segmentation Using Hierarchical Merge Tree
Starting with over-segmenting superpixels, we use a tree structure to represent the hierarchy of region merging, by which we reduce the problem of segmenting image regions to finding a set of label assignment to tree nodes.
gSLICr: SLIC superpixels at over 250Hz
We introduce a parallel GPU implementation of the Simple Linear Iterative Clustering (SLIC) superpixel segmentation.