VGGT-Segmentor achieves new SOTA cross-view segmentation on Ego-Exo4D (67.7% Ego-to-Exo, 68.0% Exo-to-Ego IoU) via geometry-enhanced features, a three-stage segmentation head, and correspondence-free pretraining.
Cmx: Cross-modal fusion for rgb-x semantic segmentation with transformers.IEEE Transactions on intelligent transportation systems, 24(12): 14679–14694, 2023
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V2-SAM adapts SAM2 to cross-view object correspondence with geometry-aware and appearance-based prompt generators plus a post-hoc cyclic consistency selector, reporting new state-of-the-art results on Ego-Exo4D, DAVIS-2017, and HANDAL-X.
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VGGT-Segmentor: Geometry-Enhanced Cross-View Segmentation
VGGT-Segmentor achieves new SOTA cross-view segmentation on Ego-Exo4D (67.7% Ego-to-Exo, 68.0% Exo-to-Ego IoU) via geometry-enhanced features, a three-stage segmentation head, and correspondence-free pretraining.
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V$^{2}$-SAM: Marrying SAM2 with Multi-Prompt Experts for Cross-View Object Correspondence
V2-SAM adapts SAM2 to cross-view object correspondence with geometry-aware and appearance-based prompt generators plus a post-hoc cyclic consistency selector, reporting new state-of-the-art results on Ego-Exo4D, DAVIS-2017, and HANDAL-X.