Referring Expression Segmentation On Refcoco 4

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Overall IoU

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname	Overall IoU	Paper Title	Repository
C3VG	77.96	Multi-task Visual Grounding with Coarse-to-Fine Consistency Constraints
UniLSeg-100	78.29	Universal Segmentation at Arbitrary Granularity with Language Instruction
STEP (5-fold)	52.33	See-Through-Text Grouping for Referring Image Segmentation	-
ReLA	71.02	GRES: Generalized Referring Expression Segmentation
MaskRIS (Swin-B)	74.46	MaskRIS: Semantic Distortion-aware Data Augmentation for Referring Image Segmentation
DETRIS	78.6	Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation
CRIS	68.08	CRIS: CLIP-Driven Referring Image Segmentation
MagNet	71.32	Mask Grounding for Referring Image Segmentation
VLT	68.43	VLT: Vision-Language Transformer and Query Generation for Referring Segmentation
SHNet	58.46	Comprehensive Multi-Modal Interactions for Referring Image Segmentation
GROUNDHOG	75.0	GROUNDHOG: Grounding Large Language Models to Holistic Segmentation	-
LAVT	68.38	LAVT: Language-Aware Vision Transformer for Referring Image Segmentation
MaIL	65.92	MaIL: A Unified Mask-Image-Language Trimodal Network for Referring Image Segmentation	-
HyperSeg	83.5	HyperSeg: Towards Universal Visual Segmentation with Large Language Model
SafaRi-B	74.53	SafaRi:Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation	-
MattNet	52.39	MAttNet: Modular Attention Network for Referring Expression Comprehension
CPMC	53.44	Referring Image Segmentation via Cross-Modal Progressive Comprehension
PolyFormer-B	72.89	PolyFormer: Referring Image Segmentation as Sequential Polygon Generation
VATEX	-	Vision-Aware Text Features in Referring Image Segmentation: From Object Understanding to Context Understanding
CMSA	47.60	Cross-Modal Self-Attention Network for Referring Image Segmentation

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