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HyperCap: Hyperspectral Land Cover Captioning Dataset for Vision Language Models
Aryan Das, Tanishq Rachamalla, Pravendra Singh +5
We introduce HyperCap, the first large-scale hyperspectral captioning dataset designed to enhance model performance and effectiveness in remote sensing applications. Unlike traditi…
Efficient Text-Guided Convolutional Adapter for the Diffusion Model
Aryan Das, Koushik Biswas, Swalpa Kumar Roy +2
We introduce the Nexus Adapters, novel text-guided efficient adapters to the diffusion-based framework for the Structure Preserving Conditional Generation (SPCG). Recently, structu…
Uncertainty-Aware Vision-Language Segmentation for Medical Imaging
Aryan Das, Tanishq Rachamalla, Koushik Biswas +2
We introduce a novel uncertainty-aware multimodal segmentation framework that leverages both radiological images and associated clinical text for precise medical diagnosis. We prop…
SceneMixer: Exploring Convolutional Mixing Networks for Remote Sensing Scene Classification
Mohammed Q. Alkhatib, Ali Jamali, Swalpa Kumar Roy
Remote sensing scene classification plays a key role in Earth observation by enabling the automatic identification of land use and land cover (LULC) patterns from aerial and satell…
TD-RD: A Top-Down Benchmark with Real-Time Framework for Road Damage Detection
Xi Xiao, Zhengji Li, Wentao Wang +5
Object detection has witnessed remarkable advancements over the past decade, largely driven by breakthroughs in deep learning and the proliferation of large scale datasets. However…
Spatial and Spatial-Spectral Morphological Mamba for Hyperspectral Image Classification
Muhammad Ahmad, Muhammad Hassaan Farooq Butt, Adil Mehmood Khan +6
Recent advancements in transformers, specifically self-attention mechanisms, have significantly improved hyperspectral image (HSI) classification. However, these models often suffe…