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Referring Expression Segmentation On Refcoco 9

评估指标

Mean IoU
Overall IoU

评测结果

各个模型在此基准测试上的表现结果

模型名称
Mean IoU
Overall IoU
Paper TitleRepository
MaskRIS (Swin-B)76.0673.96MaskRIS: Semantic Distortion-aware Data Augmentation for Referring Image Segmentation-
SeqTR- 64.12SeqTR: A Simple yet Universal Network for Visual Grounding-
MaskRIS (Swin-B, combined DB)-75.1MaskRIS: Semantic Distortion-aware Data Augmentation for Referring Image Segmentation-
HyperSeg-83.4HyperSeg: Towards Universal Visual Segmentation with Large Language Model-
C3VG-77.86Multi-task Visual Grounding with Coarse-to-Fine Consistency Constraints-
EVF-SAM-80EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model-
DETRIS-79.0Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation-
EVP-72.94EVP: Enhanced Visual Perception using Inverse Multi-Attentive Feature Refinement and Regularized Image-Text Alignment-
SafaRi-70.71SafaRi:Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation-
MLCD-Seg-7B-81.5Multi-label Cluster Discrimination for Visual Representation Learning-
MagNet-71.05Mask Grounding for Referring Image Segmentation-
VATEX--Vision-Aware Text Features in Referring Image Segmentation: From Object Understanding to Context Understanding-
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