3 citations · 4 across the 4 of their papers we have counts for
5 papers
Learning Administrative Boundary-Aware Location Encoders via Reverse Geocoding
Lakshay Sharma, Alex Marin
Location encoders learn compact representations of latitude--longitude coordinates for downstream geospatial prediction tasks. Existing approaches are pretrained using continuous o…
Subimage Overlap Prediction: Task-Aligned Self-Supervised Pretraining For Semantic Segmentation In Remote Sensing Imagery
Lakshay Sharma, Alex Marin
Self-supervised learning (SSL) methods have become a dominant paradigm for creating general purpose models whose capabilities can be transferred to downstream supervised learning t…
Landsat-Bench: Datasets and Benchmarks for Landsat Foundation Models
Isaac Corley, Lakshay Sharma, Ruth Crasto
The Landsat program offers over 50 years of globally consistent Earth imagery. However, the lack of benchmarks for this data constrains progress towards Landsat-based Geospatial Fo…
SuoiAI: Building a Dataset for Aquatic Invertebrates in Vietnam
Tue Vo, Lakshay Sharma, Tuan Dinh +5
Understanding and monitoring aquatic biodiversity is critical for ecological health and conservation efforts. This paper proposes SuoiAI, an end-to-end pipeline for building a data…
Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification
Sravanti Addepalli, Ashish Ramayee Asokan, Lakshay Sharma +1
Vision-Language Models (VLMs) such as CLIP are trained on large amounts of image-text pairs, resulting in remarkable generalization across several data distributions. However, in s…