Few-Shot Remote Sensing Scene Classification (FSRSSC) is an important task, which aims to recognize novel scene classes with few examples. Recently, several studies attempt address the FSRSSC problem by following few-shot natural image classification methods. These existing methods have made promising progress and achieved superior performance. However, they all overlook two unique characterist...

How does object perception influence scene perception? A recent study of ultrarapid scene categorization (Joubert et al., 2007) reported facilitated scene categorization for scenes with consistent objects compared to scenes with inconsistent objects. One proposal for this consistent-object advantage is that ultrarapid scene categorization is influenced directly by explicit recognition of partic...

In this paper, we present a novel framework for analyzing video using self-similarity. Video scenes are located by analyzing inter-frame similarity matrices. The approach is flexible to the choice of similarity measure and is robust and data-independent because the data is used to model itself. We present the approach and its application to scene boundary detection. This is shown to dramaticall...

A human listener has the ability to follow a speaker’s voice over time in the presence of other talkers and non-speech interference. This paper proposes a general system for sequential organization of speech based on speaker models. By training a general background model, the proposed system is shown to function well with both interfering talkers and non-speech intrusions. To deal with situatio...