1 citations · 1 across the 4 of their papers we have counts for
5 papers
Training-Free Transformer Merging via Sequential Local Operator Alignment
Akansh Maurya, Ya-Wei Eileen Lin, Stefanie Jegelka +2
Training-free model merging aims to combine multiple fine-tuned models into a single model without further optimization on labeled data. Yet, in transformers, independently merging…
A global mobile network coverage raster product at 1km resolution, 1999--2030
Till Koebe, Theophilus Aidoo, Ali El Chami +5
Where a mobile signal is available shapes who can work, learn, bank, seek health care and respond to crises in the digital age, yet no globally consistent, sub-national record of m…
A Weak Supervision Learning Approach Towards an Equitable Mobility Estimation
Theophilus Aidoo, Till Koebe, Akansh Maurya +2
The scarcity and high cost of labeled high-resolution imagery have long challenged remote sensing applications, particularly in low-income regions where high-resolution data are sc…
Self-Supervision in Time for Satellite Images(S3-TSS): A novel method of SSL technique in Satellite images
Akansh Maurya, Hewan Shrestha, Mohammad Munem Shahriar
With the limited availability of labeled data with various atmospheric conditions in remote sensing images, it seems useful to work with self-supervised algorithms. Few pretext-bas…
PARSE challenge 2022: Pulmonary Arteries Segmentation using Swin U-Net Transformer(Swin UNETR) and U-Net
Akansh Maurya, Kunal Dashrath Patil, Rohan Padhy +2
In this work, we present our proposed method to segment the pulmonary arteries from the CT scans using Swin UNETR and U-Net-based deep neural network architecture. Six models, thre…