REVIEW 2 cited by
Rigid-Motion Scattering for Texture Classification
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
A rigid-motion scattering computes adaptive invariants along translations and rotations, with a deep convolutional network. Convolutions are calculated on the rigid-motion group, with wavelets defined on the translation and rotation variables. It preserves joint rotation and translation information, while providing global invariants at any desired scale. Texture classification is studied, through the characterization of stationary processes from a single realization. State-of-the-art results are obtained on multiple texture data bases, with important rotation and scaling variabilities.
Forward citations
Cited by 2 Pith papers
-
Continual Learning Beyond Experience Rehearsal and Full Model Surrogates
SPARC achieves strong continual learning accuracy with a fraction of the parameters of surrogate-based methods by combining task-specific depthwise filters with shared pointwise filters updated by exponential averaging.
-
DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding
DeepTraverse is a weight-tied residual network plus squeeze-and-excitation attention, framed as depth-first search, with claimed efficiency gains that rest on a questionable ImageNet subset comparison.
Discussion (0). Sign in to comment.