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Abstract: Open-vocabulary camouflaged object segmentation (OVCOS) seeks to segment and classify camouflaged objects in arbitrary categories, presenting unique challenges due to visual ambiguity and ...

Abstract: Few-shot semantic segmentation (FSS) aims to segment unseen-category objects given only a few annotated samples. Although significant progress has been made in the field of FSS, selecting an ...

This is the IROS2021 presentation of our recent work "Unknown Object Segmentation from Stereo Images" by M. Durner, W. Boerdijk, M. Sundermeyer, W. Friedl, Z.-C. Marton, and R. Triebel Abstract: ...

This plugin is designed for RGBD sensors (depth cameras with semantic segmentation) and populates the costmap with segmentation masks, aligned pointclouds containing the x, y, and z coordinates of ...

We propose ModuSeg, a training-free weakly supervised semantic segmentation framework that explicitly decouples object discovery and semantic retrieval for high-quality pixel-level predictions. Weakly ...