Detect object changes between images despite different viewpoint and lighting with CYWS

Detect object changes between images despite different viewpoint and lighting with CYWS

The Change You Want to See
arXiv paper abstract https://arxiv.org/abs/2209.14341v1
arXiv PDF paper https://arxiv.org/pdf/2209.14341v1.pdf
GitHub https://github.com/ragavsachdeva/The-Change-You-Want-to-See
Project page https://www.robots.ox.ac.uk/~vgg/research/cyws

… tackle the change detection problem with the goal of detecting “object-level” changes in an image pair despite differences in their viewpoint and illumination.

… make the following four contributions:

(i) … propose a scalable methodology for obtaining a large-scale change detection training dataset by leveraging existing object segmentation benchmarks;

(ii) … introduce a co-attention based novel architecture that is able to implicitly determine correspondences between an image pair and find changes in the form of bounding box predictions;

(iii) … contribute four evaluation datasets that cover a variety of domains and transformations, including synthetic image changes, real surveillance images of a 3D scene, and synthetic 3D scenes with camera motion;

(iv) … evaluate … model on these four datasets and demonstrate zero-shot and beyond training transformation generalization.

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Photo by Ashim D’Silva on Unsplash

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I apply innovative technologies like machine learning, computer vision, and physics to further an organization's goals. Am recognized innovator with 66 patents.