203 citations
- Manipal Centre for Natural SciencesIN23 papers
- Poornaprajna Institute of Scientific ResearchIN19 papers
- Tata Institute of Fundamental ResearchIN17 papers
- Indian Institute of AstrophysicsIN14 papers
- Raman Research InstituteIN11 papers
- Indian Space Research OrganisationIN10 papers
- Inter-University Centre for Astronomy and AstrophysicsIN10 papers
- Indian Institute of Science BangaloreIN9 papers
- National Centre for Radio AstrophysicsIN9 papers
- Homi Bhabha National InstituteIN8 papers
- Indian Institute of Technology JodhpurIN7 papers
- Massachusetts Institute of TechnologyUS6 papers
11 papers · 1 filter
DeiTFake: Deepfake Detection Model using DeiT Multi-Stage Training
Saksham Kumar, Ashish Singh, Srinivasarao Thota +2
Deepfakes are major threats to the integrity of digital media. We propose DeiTFake, a DeiT-based transformer and a novel two-stage progressive training strategy with increasing aug…
Benchmarking Deep Learning Models for Laryngeal Cancer Staging Using the LaryngealCT Dataset
Nivea Roy, Son Tran, Atul Sajjanhar +4
Laryngeal cancer imaging research lacks standardised public datasets to enable reproducible deep learning (DL) model development. We present LaryngealCT, a curated benchmark of 1,0…
There Are No Data Like More Data- Datasets for Deep Learning in Earth Observation
Michael Schmitt, Seyed Ali Ahmadi, Yonghao Xu +4
Carefully curated and annotated datasets are the foundation of machine learning, with particularly data-hungry deep neural networks forming the core of what is often called Artific…
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…
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…
UVid-Net: Enhanced Semantic Segmentation of UAV Aerial Videos by Embedding Temporal Information
Girisha S, Ujjwal Verma, Manohara Pai M M +1
Semantic segmentation of aerial videos has been extensively used for decision making in monitoring environmental changes, urban planning, and disaster management. The reliability o…