3 citations · 3 across the 8 of their papers we have counts for
4 papers · 1 filter
Texture- and Shape-based Adversarial Attacks for Overhead Image Vehicle Detection
Mikael Yeghiazaryan, Sai Abhishek Siddhartha Namburu, Emily Kim +4
Detecting vehicles in aerial images is difficult due to complex backgrounds, small object sizes, shadows, and occlusions. Although recent deep learning advancements have improved o…
A Mamba-based Siamese Network for Remote Sensing Change Detection
Jay N. Paranjape, Celso de Melo, Vishal M. Patel
Change detection in remote sensing images is an essential tool for analyzing a region at different times. It finds varied applications in monitoring environmental changes, man-made…
ViLCo-Bench: VIdeo Language COntinual learning Benchmark
Tianqi Tang, Shohreh Deldari, Hao Xue +2
Video language continual learning involves continuously adapting to information from video and text inputs, enhancing a model's ability to handle new tasks while retaining prior kn…
WeatherProof: Leveraging Language Guidance for Semantic Segmentation in Adverse Weather
Blake Gella, Howard Zhang, Rishi Upadhyay +7
We propose a method to infer semantic segmentation maps from images captured under adverse weather conditions. We begin by examining existing models on images degraded by weather c…