Oct 14, 2022 · We introduce a novel approach to instance segmentation that jointly leverages measurements from multiple sensor modalities, such as cameras and ...
Abstract—Segmenting object instances is a key task in machine perception, with safety-critical applications in robotics and autonomous driving.
We introduce a novel approach to instance segmentation that jointly leverages measurements from multiple sensor modalities, such as cameras and LiDAR. Our ...
We introduce a novel approach to instance segmentation that jointly leverages measurements from multiple sensor modalities, such as cameras and LiDAR. Our ...
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We introduce a robust cross- modal pseudo-labeling framework that aligns textual and visual modalities in captioned images to create caption- driven pseudo ...
Oct 27, 2023 · Open-World Instance Segmentation (OWIS) is an emerging research topic that aims to segment class-agnostic object instances from images.
This paper introduces a novel approach comprising a cross-modality feature alignment sub-network and a cross pseudo supervised dual-stream segmentation sub- ...
A collection of referring image segmentation papers and datasets. Feel free to create a PR or an issue.
Aug 18, 2022 · Open-world instance segmentation (OWIS) aims to segment class-agnostic instances from images, which has a wide range of real-world applications ...
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Dec 12, 2023 · On the Waymo dataset, the proposed framework demonstrates significant improvements over the baseline, especially achieving 2.59% mAP and 12.75% ...