GeoEngine: A Platform for Production-Ready Geospatial Research

no code implementations • CVPR 2022 • Sagar Verma, Siddharth Gupta, Hal Shin, Akash Panigrahi, Shubham Goswami, Shweta Pardeshi, Natanael Exe, Ujwal Dutta, Tanka Raj Joshi, Nitin Bhojwani

In this paper we introduce the GeoEngine platform for reproducible and production-ready geospatial machine learning research.

BIG-bench Machine Learning

Heterogeneity Loss to Handle Intersubject and Intrasubject Variability in Cancer

1 code implementation • 6 Mar 2020 • Shubham Goswami, Suril Mehta, Dhruva Sahrawat, Anubha Gupta, Ritu Gupta

We also propose an unorthodox ensemble strategy that helps us in providing improved classification over models trained on 7-folds giving a weighted-$F_1$ score of 95. 26% on unseen (test) subjects' data that are, so far, the best results on the C-NMC 2019 dataset for B-ALL classification.

Multi-lane Detection Using Instance Segmentation and Attentive Voting

no code implementations • 1 Jan 2020 • Donghoon Chang, Vinjohn Chirakkal, Shubham Goswami, Munawar Hasan, Taekwon Jung, Jinkeon Kang, Seok-Cheol Kee, Dongkyu Lee, Ajit Pratap Singh

Among these solutions, lane detection is one of the vital driver-assist features that play a crucial role in the decision-making process of the autonomous vehicle.

Autonomous Driving Decision Making +3