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  4. Open Vocabulary Semantic Segmentation On 7

Open Vocabulary Semantic Segmentation On 7

评估指标

mIoU

评测结果

各个模型在此基准测试上的表现结果

模型名称
mIoU
Paper TitleRepository
MaskCLIP10Open-Vocabulary Universal Image Segmentation with MaskCLIP
SILC25.8SILC: Improving Vision Language Pretraining with Self-Distillation-
MAFT+21.6Collaborative Vision-Text Representation Optimizing for Open-Vocabulary Segmentation
MAFT-ViTL15.7Learning Mask-aware CLIP Representations for Zero-Shot Segmentation
MaskCLIP++23.9High-Quality Mask Tuning Matters for Open-Vocabulary Segmentation
ODISE14.5Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models
SED22.6SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation
EBSeg-L21.0Open-Vocabulary Semantic Segmentation with Image Embedding Balancing
Mask-Adapter22.7Mask-Adapter: The Devil is in the Masks for Open-Vocabulary Segmentation
SCAN16.7Open-Vocabulary Segmentation with Semantic-Assisted Calibration
CAT-Seg23.8CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation
FC-CLIP18.2Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP
OVSeg Swin-B12.4Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP
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