FuTCR boosts new-class panoptic quality by up to 28% in continual settings by discovering future-like background regions and applying targeted contrast and repulsion to reserve space for incoming categories.
Masked-attention mask transformer for universal image segmentation
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
HiPR improves 3D occupancy prediction by reparameterizing image-to-voxel projections using LiDAR-derived height priors to adapt sampling ranges to scene sparsity and height variations.
citing papers explorer
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FuTCR: Future-Targeted Contrast and Repulsion for Continual Panoptic Segmentation
FuTCR boosts new-class panoptic quality by up to 28% in continual settings by discovering future-like background regions and applying targeted contrast and repulsion to reserve space for incoming categories.
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Height-Guided Projection Reparameterization for Camera-LiDAR Occupancy
HiPR improves 3D occupancy prediction by reparameterizing image-to-voxel projections using LiDAR-derived height priors to adapt sampling ranges to scene sparsity and height variations.