Computer Vision
Allowing humans to interactively train artificial agents to understand language instructions is desirable for both practical and …
Neural networks are prone to adversarial attacks. In general, such attacks deteriorate the quality of the input by either slightly …
Few-shot learning has become essential for producing models that generalize from few examples. In this work, we identify that metric …
Object counting is an important task in computer vision due to its growing demand in applications such as surveillance, traffic …
Progress in the field of machine learning has been fueled by the introduction of benchmark datasets pushing the limits of existing …
Fine-grained image recognition is central to many multimedia tasks such as search, retrieval and captioning. Unfortunately, these tasks …
We propose a Class-Based Styling method (CBS) that can map different styles for different object classes in real-time. CBS achieves …
Geospatial Foundation Models (GeoFMs) are transforming Earth Observation (EO), but evaluation lacks standardized protocols. …