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Found 3 papers, 1 papers with code
System Description on Automatic Simultaneous Translation Workshop
This paper describes our system submitted on the third automatic simultaneous translation workshop at NAACL2022.
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)
MDS-Net: A Multi-scale Depth Stratification Based Monocular 3D Object Detection Algorithm
Monocular 3D object detection is very challenging in autonomous driving due to the lack of depth information.
