[PDF] Unsupervised Object Segmentation by Redrawing - NIPS Proceedings PDF 9434-unsupervised-object-segmentation-by-redrawing.pdf

aims at revisiting the unsupervised image segmentation problem with new tools and 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), method finds clusters of pixels using a learned distance invariant to some

IIC is a generic clustering algorithm that 1 9865 Page 2 directly trains a randomly initialised neural network into a classification function, end-to-end and without any labels It involves a simple objective function, which is the mutual information between the function's classifications for paired data samples

[PDF] Invariant Information Clustering for Unsupervised Image

Invariant Information Clustering for Unsupervised Image Classification and Segmentation: sole output head for semi-supervised overclustering but to

arXiv:180706653v2 [csCV] 21 Jul 2018

21 juil 2018 · Unsupervised Image Segmentation and Clustering patches - to outperform adapted image classification methods that We present a simple new approach to unsupervised image understanding called Invariant Information

[PDF] Mitigating Embedding and Class Assignment Mismatch in

Unsupervised image classification is a challenging computer vision task Self- Augmented Training (IMSAT) [15] and Invariant Information Clustering (IIC) [18]