no code implementations • 1 Feb 2023 • Saurabh Sharma, Yongqin Xian, Ning Yu, Ambuj Singh
On the other hand, Prototype classifiers do not suffer from this shortcoming and can deliver promising results simply using Nearest-Class-Mean (NCM), a special case where prototypes are empirical centroids.
Ranked #5 on Long-tail Learning on CIFAR-100-LT (ρ=10)
no code implementations • 19 Jan 2023 • Saurabh Sharma, Faizan Ahemad
To supervise the quality and completeness of the images in the product pages for these product types and suggest improvements, we propose a Human Pose Detection based unsupervised method to scan the image set of a product for the missing ones.
1 code implementation • 7 Apr 2020 • Saurabh Sharma, Ning Yu, Mario Fritz, Bernt Schiele
Deep learning enables impressive performance in image recognition using large-scale artificially-balanced datasets.
Ranked #17 on Long-tail Learning on Places-LT
1 code implementation • ICCV 2019 • Saurabh Sharma, Pavan Teja Varigonda, Prashast Bindal, Abhishek Sharma, Arjun Jain
Monocular 3D human-pose estimation from static images is a challenging problem, due to the curse of dimensionality and the ill-posed nature of lifting 2D-to-3D.
no code implementations • CVPR 2019 • Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata
When labeled training data is scarce, a promising data augmentation approach is to generate visual features of unknown classes using their attributes.
Ranked #3 on Generalized Zero-Shot Learning on SUN Attribute
no code implementations • 21 Nov 2014 • Rajveer Kaur, Saurabh Sharma
This paper describes pre-processing phase of ontology graph generation system from Punjabi text documents of different domains.