most citedSemi-Supervised Classification and Segmentation on High Resolution Aerial Images

6 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022

An Efficient Modern Baseline for FloodNet VQA

Aditya Kane, Sahil Khose

Designing efficient and reliable VQA systems remains a challenging problem, more so in the case of disaster management and response systems. In this work, we revisit fundamental co…

cs.CL20221 cited

Transformer based ensemble for emotion detection

Aditya Kane, Shantanu Patankar, Sahil Khose +1

Detecting emotions in languages is important to accomplish a complete interaction between humans and machines. This paper describes our contribution to the WASSA 2022 shared task w…

cs.CV2021

A Studious Approach to Semi-Supervised Learning

Sahil Khose, Shruti Jain, V Manushree

The problem of learning from few labeled examples while using large amounts of unlabeled data has been approached by various semi-supervised methods. Although these methods can ach…

cs.CV20216 cited

Semi-Supervised Classification and Segmentation on High Resolution Aerial Images

Sahil Khose, Abhiraj Tiwari, Ankita Ghosh

FloodNet is a high-resolution image dataset acquired by a small UAV platform, DJI Mavic Pro quadcopters, after Hurricane Harvey. The dataset presents a unique challenge of advancin…

cs.CL2021

BERT based Transformers lead the way in Extraction of Health Information from Social Media

Sidharth R, Abhiraj Tiwari, Parthivi Choubey +5

This paper describes our submissions for the Social Media Mining for Health (SMM4H)2021 shared tasks. We participated in 2 tasks:(1) Classification, extraction and normalization of…