Wacv26 Paperaward

Our work was awarded the Best Student Paper Award at WACV 2026! 🎉 Here, we introduce a local learning framework on low-rank manifolds that achieves backpropagation-comparable accuracy while significantly reducing parameter count and memory overhead.