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Referring Expression Segmentation On Refcoco 8

Metrics

mIoU

Results

Performance results of various models on this benchmark

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