In this pa- per, we propose using Differentiable Normalized Cuts for self-supervised dense feature learning that can improve the dense prediction capability of ...
In this paper, we propose using Differentiable Normalized Cuts for self-supervised dense feature learning that can improve the dense prediction capability of ...
Nov 10, 2024 · In this paper, we propose using Differentiable Normalized Cuts for self-supervised dense feature learning that can improve the dense prediction ...
This is the implementation of our ECCV 2024 paper "Unsupervised Dense Prediction using Differentiable Normalized Cuts" by Yanbin Liu and Stephen Gould.
For training, we adopt the Layer-wise Adaptive Rate Scaling (LARS) on top of an SGD optimizer with a momentum of 0.9. Structure of the Projector and Predictor.
Nov 12, 2024 · ... We report results for our model trained on pseudomasks extracted from DINO features as well as DiffNCut features. For both settings, we find ...
Sep 6, 2024 · ECCV presentation video for paper: Unsupervised Dense Prediction using Differentiable Normalized Cuts by Yanbin Liu and Stephen Gould.
Nov 25, 2024 · They implement a differentiable version of Normalized Cuts (NCut) and use ... Unsupervised dense prediction using differentiable normalized cuts.
Unsupervised Dense Prediction using Differentiable Normalized Cuts. Yanbin Liu and Stephen Gould. In proceedings of the European Conference on Computer ...
Unsupervised Dense Prediction Using Differentiable Normalized Cuts. 2025 | Book chapter ; Bilaterally Normalized Scale-Consistent Sinkhorn Distance for Few-Shot ...