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IEEE25d
Learning Event Representations for Temporal Segmentation of Image Sequences by Dynamic Graph Embedding
The key novelty of DGE is to learn jointly the graph and ... on two benchmark datasets of real image sequences captured at regular time intervals demonstrate that the proposed DGE leads to event ...
IEEE22d
Osteosarcoma CT Image Segmentation Based on OSCA-TransUnet Model
Abstract: This paper mainly conducts research on the segmentation of osteosarcoma CT images by using deep learning methods. Due to the lack of a public dataset for osteosarcoma CT images, we ...
GamesRadar+15d
The 30 best sci-fi movies of all time
In 1999, the Wachowskis unleashed The Matrix onto the world, and we’ve never looked back. Groundbreaking action sequences, iconic world-building, legendary characters, mind-bending iconography ...
GitHub22d
Official Implementation of "GPS-Mamba: Graph Permutation Scanning State Space Model for Multivariate Time Series Forecasting"
# ECL bash ./scripts/multivariate_forecasting/ECL.sh # Traffic bash ./scripts/multivariate_forecasting/Traffic.sh # Weather bash ./scripts/multivariate_forecasting ...
GitHub27d
Towards Robust Cardiac Segmentation Using Graph Convolutional Networks (GCNs)
Ben-Yosef: “Light-weight spatio-temporal graphs for segmentation ... dataset is a publicly available dataset of 500 patients including Apical 2 Chamber (A2C) and Apical 4 Chamber (A4C) views obtained ...