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Found 2 papers, 2 papers with code
Complete Instances Mining for Weakly Supervised Instance Segmentation
To address this problem, we propose a novel approach for WSIS that focuses on the online refinement of complete instances through the use of MaskIoU heads to predict the integrity scores of proposals and a Complete Instances Mining (CIM) strategy to explicitly model the redundant segmentation problem and generate refined pseudo labels.
Ranked #1 on
Image-level Supervised Instance Segmentation
on COCO 2017 val
(using extra training data)
Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction
The price movement prediction of stock market has been a classical yet challenging problem, with the attention of both economists and computer scientists.
