Scale Equivariance Improves Siamese Trackingdoi:10.1109/WACV48630.2021.00281Ivan SosnovikArtem MoskalevArnold SmeuldersIEEEWorkshop on Applications of Computer Vision
In unsupervised image segmentation, we have identified an approach known as “Pixel-wise Feature Clustering Using Invariance and Equivariance”55. This unsupervised image segmentation technique employs geometric consistency as an inductive bias to learn the photometric invariance and geometric equivariance of ...
Siamese trackers turn tracking into similarity estimation between a template and the candidate regions in the frame. Mathematically, one of the key ingredients of success of the similarity function is translation equivariance. Non-translation-equivariant architectures induce a positional bias during training...
Scale Equivariance Improves Siamese Tracking. In Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, USA, 3–8 January 2021; pp. 2764–2773. [Google Scholar] Wang, Q.; Zheng, Y.; Yang, G.; Jin, W.; Yin, Y. Multi-Scale Rotation-...