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Found 7 papers, 0 papers with code
Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection
This can enable improved performance in downstream tasks that are equivariant to such transformations.
Multimodal 3D Object Detection on Unseen Domains
To this end, we propose CLIX$^\text{3D}$, a multimodal fusion and supervised contrastive learning framework for 3D object detection that performs alignment of object features from same-class samples of different domains while pushing the features from different classes apart.
Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes
We present an approach to estimating camera rotation in crowded, real-world scenes from handheld monocular video.
EVAL: Explainable Video Anomaly Localization
We develop a novel framework for single-scene video anomaly localization that allows for human-understandable reasons for the decisions the system makes.
Ranked #16 on
Anomaly Detection
on ShanghaiTech
Cross-Modal Knowledge Transfer Without Task-Relevant Source Data
In such cases, transferring knowledge from a neural network trained on a well-labeled large dataset in the source modality (RGB) to a neural network that works on a target modality (depth, infrared, etc.)
A Survey of Single-Scene Video Anomaly Detection
This survey article summarizes research trends on the topic of anomaly detection in video feeds of a single scene.
Learning a distance function with a Siamese network to localize anomalies in videos
The learned distance function, which is not specific to the target video, is used to measure the distance between each video patch in the testing video and the video patches found in normal training video.
Ranked #18 on
Anomaly Detection
on CUHK Avenue
