Search Results for author: Sai Sree Harsha

Found 2 papers, 1 papers with code

LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity

no code implementations6 Apr 2022 Tejan Karmali, Abhinav Atrishi, Sai Sree Harsha, Susmit Agrawal, Varun Jampani, R. Venkatesh Babu

Existing works in self-supervised landmark detection are based on learning dense (pixel-level) feature representations from an image, which are further used to learn landmarks in a semi-supervised manner.

Self-Supervised Learning

Neural Pooling for Graph Neural Networks

1 code implementation1 Jan 2021 Sai Sree Harsha, Deepak Mishra

Our proposed methods have the ability to handle variable number of nodes in different graphs, and are also invariant to the isomorphic structures of graphs.

Classification General Classification +1

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