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Found 5 papers, 1 papers with code
OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers
We present OSFormer, the first one-stage transformer framework for camouflaged instance segmentation (CIS).
Superpixel Segmentation Based on Spatially Constrained Subspace Clustering
Consequently, we devise a spatial regularization and propose a novel convex locality-constrained subspace clustering model that is able to constrain the spatial adjacent pixels with similar attributes to be clustered into a superpixel and generate the content-aware superpixels with more detailed boundaries.
Salient Instance Segmentation with Region and Box-level Annotations
To this end, we present a cyclic global context salient instance segmentation network (CGCNet), which is supervised by the combination of salient regions and bounding boxes from the ready-made salient object detection datasets.
Salient Instance Segmentation via Subitizing and Clustering
The experimental results on both salient region detection and salient instance segmentation datasets demonstrate the satisfactory performance of our framework.
EasyConvPooling: Random Pooling with Easy Convolution for Accelerating Training and Testing
Convolution operations dominate the overall execution time of Convolutional Neural Networks (CNNs).
