FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects

no code implementations • 19 Oct 2023 • Mayank Lunayach, Sergey Zakharov, Dian Chen, Rares Ambrus, Zsolt Kira, Muhammad Zubair Irshad

In this work, we address the challenging task of 3D object recognition without the reliance on real-world 3D labeled data.

3D Object Recognition 6D Pose Estimation

Lifelong Wandering: A realistic few-shot online continual learning setting

no code implementations • 16 Jun 2022 • Mayank Lunayach, James Smith, Zsolt Kira

Online few-shot learning describes a setting where models are trained and evaluated on a stream of data while learning emerging classes.

Continual Learning Few-Shot Learning

Uncertainty based Class Activation Maps for Visual Question Answering

no code implementations • 23 Jan 2020 • Badri N. Patro, Mayank Lunayach, Vinay P. Namboodiri

These have two-fold benefits: a) improvement in obtaining the certainty estimates that correlate better with misclassified samples and b) improved attention maps that provide state-of-the-art results in terms of correlation with human attention regions.

Probabilistic Deep Learning Question Answering +1

U-CAM: Visual Explanation using Uncertainty based Class Activation Maps

no code implementations • ICCV 2019 • Badri N. Patro, Mayank Lunayach, Shivansh Patel, Vinay P. Namboodiri

These have two-fold benefits: a) improvement in obtaining the certainty estimates that correlate better with misclassified samples and b) improved attention maps that provide state-of-the-art results in terms of correlation with human attention regions.

Probabilistic Deep Learning Question Answering +1