6 papers
AetherVision-Bench: An Open-Vocabulary RGB-Infrared Benchmark for Multi-Angle Segmentation across Aerial and Ground Perspectives
Aniruddh Sikdar, Aditya Gandhamal, Suresh Sundaram
Open-vocabulary semantic segmentation (OVSS) involves assigning labels to each pixel in an image based on textual descriptions, leveraging world models like CLIP. However, they enc…
OV-COAST: Cost Aggregation with Optimal Transport for Open-Vocabulary Semantic Segmentation
Aditya Gandhamal, Aniruddh Sikdar, Suresh Sundaram
Open-vocabulary semantic segmentation (OVSS) entails assigning semantic labels to each pixel in an image using textual descriptions, typically leveraging world models such as CLIP.…
SAGA: Semantic-Aware Gray color Augmentation for Visible-to-Thermal Domain Adaptation across Multi-View Drone and Ground-Based Vision Systems
Manjunath D, Aniruddh Sikdar, Prajwal Gurunath +2
Domain-adaptive thermal object detection plays a key role in facilitating visible (RGB)-to-thermal (IR) adaptation by reducing the need for co-registered image pairs and minimizing…
IndraEye: Infrared Electro-Optical UAV-based Perception Dataset for Robust Downstream Tasks
Manjunath D, Prajwal Gurunath, Sumanth Udupa +4
Deep neural networks (DNNs) have shown exceptional performance when trained on well-illuminated images captured by Electro-Optical (EO) cameras, which provide rich texture details.…
Syn2Real Domain Generalization for Underwater Mine-like Object Detection Using Side-Scan Sonar
Aayush Agrawal, Aniruddh Sikdar, Rajini Makam +3
Underwater mine detection with deep learning suffers from limitations due to the scarcity of real-world data. This scarcity leads to overfitting, where models perform well on train…
Supervised Image Translation from Visible to Infrared Domain for Object Detection
Prahlad Anand, Qiranul Saadiyean, Aniruddh Sikdar +2
This study aims to learn a translation from visible to infrared imagery, bridging the domain gap between the two modalities so as to improve accuracy on downstream tasks including…