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

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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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AI News Clips by Morris Lee: News to help your R&D
AI News Clips by Morris Lee: News to help your R&D

Written by AI News Clips by Morris Lee: News to help your R&D

A computer vision consultant in artificial intelligence and related hitech technologies 37+ years. Am innovator with 66+ patents and ready to help a firm's R&D.

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