arXiv:2004.07944
공식 코드 · Papers with Code
Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for Scene Understanding
원문 초록
In this technical report, we present two novel datasets for image scene understanding. Both datasets have annotations compatible with panoptic segmentation and additionally they have part-level labels for selected semantic classes. This report describes the format of the two datasets, the annotation protocols, the merging strategies, and presents the datasets statistics. The datasets labels together with code for processing and visualization will be published at https://github.com/tue-mps/panoptic_parts.
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Scene-Centric Unsupervised Panoptic Segmentation
Zero-Shot 4D Lidar Panoptic Segmentation
PanoGS: Gaussian-based Panoptic Segmentation for 3D Open Vocabulary Scene Understanding
ClaraVid: A Holistic Scene Reconstruction Benchmark From Aerial Perspective With Delentropy-Based Complexity Profiling
MaskAttn-UNet: A Mask Attention-Driven Framework for Universal Low-Resolution Image Segmentation
Label-Efficient LiDAR Panoptic Segmentation
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