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Found 5 papers, 0 papers with code
Nothing Stands Still: A Spatiotemporal Benchmark on 3D Point Cloud Registration Under Large Geometric and Temporal Change
To this end, we introduce the Nothing Stands Still (NSS) benchmark, which focuses on the spatiotemporal registration of 3D scenes undergoing large spatial and temporal change, ultimately creating one coherent spatiotemporal map.
3D Objectness Estimation via Bottom-up Regret Grouping
Further ablation study also demonstrates the effectiveness of our grouping predictor and regret mechanism.
A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting
Next, a new multi-objective algorithm called MOHHO is first developed in this study, which are introduced to tune the parameters of ELM model with high forecasting accuracy and stability for air pollution series prediction, simultaneously.
Visual Rhythm Prediction with Feature-Aligning Network
In this paper, we propose a data-driven visual rhythm prediction method, which overcomes the previous works' deficiency that predictions are made primarily by human-crafted hard rules.
Image Segmentation Algorithms Overview
The technology of image segmentation is widely used in medical image processing, face recognition pedestrian detection, etc.
