GOLD-BEV learns dense BEV semantic maps including dynamic agents from ego-centric sensors by using synchronized aerial imagery for training supervision and pseudo-label generation.
Mask2former for video instance segmentation
3 Pith papers cite this work. Polarity classification is still indexing.
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Primus and PrimusV2 are Transformer-centric models that match or exceed nnU-Net and top CNNs on nine 3D medical segmentation datasets by enforcing attention usage.
PAT-VCM adds lightweight auxiliary tokens to a shared baseline video stream to support multiple downstream machine tasks without task-specific codecs.
citing papers explorer
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GOLD-BEV: GrOund and aeriaL Data for Dense Semantic BEV Mapping of Dynamic Scenes
GOLD-BEV learns dense BEV semantic maps including dynamic agents from ego-centric sensors by using synchronized aerial imagery for training supervision and pseudo-label generation.
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Primus: Enforcing Attention Usage for 3D Medical Image Segmentation
Primus and PrimusV2 are Transformer-centric models that match or exceed nnU-Net and top CNNs on nine 3D medical segmentation datasets by enforcing attention usage.
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PAT-VCM: Plug-and-Play Auxiliary Tokens for Video Coding for Machines
PAT-VCM adds lightweight auxiliary tokens to a shared baseline video stream to support multiple downstream machine tasks without task-specific codecs.