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Referring Expression Segmentation On Refcoco 8

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mIoU

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname
mIoU
Paper TitleRepository
VATEX79.64Vision-Aware Text Features in Referring Image Segmentation: From Object Understanding to Context Understanding-
EVF-SAM-EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model-
SafaRi-SafaRi:Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation-
EVP-EVP: Enhanced Visual Perception using Inverse Multi-Attentive Feature Refinement and Regularized Image-Text Alignment-
DETRIS-Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation-
MaskRIS (Swin-B)-MaskRIS: Semantic Distortion-aware Data Augmentation for Referring Image Segmentation-
MLCD-Seg-7B-Multi-label Cluster Discrimination for Visual Representation Learning-
MaskRIS (Swin-B, combined DB)-MaskRIS: Semantic Distortion-aware Data Augmentation for Referring Image Segmentation-
HyperSeg-HyperSeg: Towards Universal Visual Segmentation with Large Language Model-
MagNet-Mask Grounding for Referring Image Segmentation-
C3VG-Multi-task Visual Grounding with Coarse-to-Fine Consistency Constraints-
SeqTR-SeqTR: A Simple yet Universal Network for Visual Grounding-
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Referring Expression Segmentation On Refcoco 8 | SOTA | HyperAI