1 citations · 1 across the 6 of their papers we have counts for
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Active Learning for Animal Re-Identification with Ambiguity-Aware Sampling
Depanshu Sani, Mehar Khurana, Saket Anand
Animal Re-ID has recently gained substantial attention in the AI research community due to its high impact on biodiversity monitoring and unique research challenges arising from en…
Hier-COS: Making Deep Features Hierarchy-aware via Composition of Orthogonal Subspaces
Depanshu Sani, Saket Anand
Traditional classifiers treat all labels as mutually independent, thereby considering all negative classes to be equally incorrect. This approach fails severely in many real-world…
Graph-Based Multi-Modal Sensor Fusion for Autonomous Driving
Depanshu Sani, Saket Anand
The growing demand for robust scene understanding in mobile robotics and autonomous driving has highlighted the importance of integrating multiple sensing modalities. By combining…
SICKLE: A Multi-Sensor Satellite Imagery Dataset Annotated with Multiple Key Cropping Parameters
Depanshu Sani, Sandeep Mahato, Sourabh Saini +5
The availability of well-curated datasets has driven the success of Machine Learning (ML) models. Despite greater access to earth observation data in agriculture, there is a scarci…
High-Resolution Satellite Imagery for Modeling the Impact of Aridification on Crop Production
Depanshu Sani, Sandeep Mahato, Parichya Sirohi +5
The availability of well-curated datasets has driven the success of Machine Learning (ML) models. Despite the increased access to earth observation data for agriculture, there is a…
Crop Type Identification for Smallholding Farms: Analyzing Spatial, Temporal and Spectral Resolutions in Satellite Imagery
Depanshu Sani, Sandeep Mahato, Parichya Sirohi +4
The integration of the modern Machine Learning (ML) models into remote sensing and agriculture has expanded the scope of the application of satellite images in the agriculture doma…