SOTAVerified

Zero-Shot Semantic Segmentation

Papers

Showing 1–10 of 60 papers

TitleStatusHype
Split Matching for Inductive Zero-shot Semantic Segmentation—0
3D-PointZshotS: Geometry-Aware 3D Point Cloud Zero-Shot Semantic Segmentation Narrowing the Visual-Semantic GapCode0
Bridge the Gap Between Visual and Linguistic Comprehension for Generalized Zero-shot Semantic Segmentation—0
Disentangling CLIP for Multi-Object Perception—0
FLAIR: VLM with Fine-grained Language-informed Image RepresentationsCode2
Open-RGBT: Open-vocabulary RGB-T Zero-shot Semantic Segmentation in Open-world Environments—0
Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO—0
OpenObj: Open-Vocabulary Object-Level Neural Radiance Fields with Fine-Grained UnderstandingCode1
DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized CutCode2
Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic SegmentationCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OTSeg+Transductive Setting hIoU94.4—Unverified
2OTSegTransductive Setting hIoU94.2—Unverified
3CLIP-RCTransductive Setting hIoU93—Unverified
4ZegCLIPTransductive Setting hIoU91.1—Unverified
5MaskCLIP+Transductive Setting hIoU87.4—Unverified
6FreeSegTransductive Setting hIoU86.9—Unverified
7DeOpInductive Setting hIoU80.8—Unverified
8zssegTransductive Setting hIoU79.3—Unverified
9ZegFormerInductive Setting hIoU73.3—Unverified
10STRICTTransductive Setting hIoU49.8—Unverified