Structure Tensor Representation for Robust Oriented Object Detection
Published:
We propose to represent orientation as a structure tensor in Oriented Object Detection, bridging the gap between Gaussian-based and angle-coder solutions.
Posts by Category
research
Exploring Robust Features for Few-Shot Object Detection in Satellite Imagery
Published:
We explore recent ideas on Open Vocabulary Detection to detect any object in remote sensing images with only a handful of examples.
Portraying the Need for Temporal Data in Flood Detection via Sentinel-1
Published:
We address current limitations in flood detection and illustrate the importance of temporal information to solve the flood detection problem, extending the MMFlood dataset to multi-date.
Statistical modeling of deep features reduces false alarms in video change detection
Published:
Introduces a weakly supervised a-contrario validation process, based on high dimensional statistical modeling of deep features, to reduce the number of false alarms of any change detection algorithm.
Reviewing ViBe, a Popular Background Subtraction Algorithm for Real-Time Applications
Published:
We review the classical video background subtraction algorithm ViBe, which is still widely due to its simplicity and low computational load. An interactive demo is provided to quickly run and visualize its results via an easy-to-use interface.
A Study of RobustNet, a Domain Generalization Method for Semantic Segmentation
Published:
A review of RobustNet, a Domain Generalization method for Urban-Scene Semantic Segmentation. Instead of exposing the network to a wide range of domains, RobustNet tries to separate domain-variant from domain-invariant features via a whitening transformation. A demo is provided to easily test RobustNet and see the results on your own data.