An ILP-based oracle applied to seven VIS methods on YouTube-VIS and OVIS shows tracking instability as the dominant bottleneck, producing gaps exceeding 20 AP under occlusion while classification impact is secondary.
Mask2former for video instance segmentation
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SA-VIS trains video instance segmentation models on sparse frame annotations via a Past-frames Feature Propagation module and frame-specific instance queries, showing only a 0.4% AP drop versus dense training on YouTube-VIS and OVIS benchmarks.
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.
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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Mind the Gap: Disentangling Performance Bottlenecks in Video Instance Segmentation
An ILP-based oracle applied to seven VIS methods on YouTube-VIS and OVIS shows tracking instability as the dominant bottleneck, producing gaps exceeding 20 AP under occlusion while classification impact is secondary.
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SA-VIS: Sparse frame Annotations for training Video Instance Segmentation
SA-VIS trains video instance segmentation models on sparse frame annotations via a Past-frames Feature Propagation module and frame-specific instance queries, showing only a 0.4% AP drop versus dense training on YouTube-VIS and OVIS benchmarks.
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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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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.