SOTAVerified

Open Vocabulary Panoptic Segmentation

Papers

Showing 110 of 17 papers

TitleStatusHype
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual ReasoningCode1
DreamMask: Boosting Open-vocabulary Panoptic Segmentation with Synthetic Data0
Open-Vocabulary Panoptic Segmentation Using BERT Pre-Training of Vision-Language Multiway Transformer ModelCode1
EOV-Seg: Efficient Open-Vocabulary Panoptic SegmentationCode1
Adapting Vision-Language Model with Fine-grained Semantics for Open-Vocabulary Segmentation0
Collaborative Vision-Text Representation Optimizing for Open-Vocabulary SegmentationCode2
PosSAM: Panoptic Open-vocabulary Segment AnythingCode2
UMG-CLIP: A Unified Multi-Granularity Vision Generalist for Open-World UnderstandingCode1
3D Open-Vocabulary Panoptic Segmentation with 2D-3D Vision-Language Distillation0
CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense PredictionCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UMG-CLIP-E/14PQ31.6Unverified
2PosSAMPQ29.2Unverified
3UMG-CLIP-L/14PQ29.1Unverified
4MAFT+PQ27.1Unverified
5FC-CLIPPQ26.8Unverified
6CLIPSelfPQ23.7Unverified
7ODISE(Caption)PQ23.4Unverified
8ODISE (Label)PQ22.6Unverified
9FreeSegPQ16.3Unverified
10MaskCLIPPQ15.1Unverified