HyperAIHyperAI
HomeConsoleDocsNewsPapersTutorialsDatasetsWikiSOTALLM ModelsGPU LeaderboardEvents
Search
About
HyperAIHyperAI

Command Palette

Search for a command to run...

Referring Expression Segmentation On Refcoco 9

Metrics

Mean IoU
Overall IoU

Results

Performance results of various models on this benchmark

Paper TitleRepository
HyperSeg-83.4HyperSeg: Towards Universal Visual Segmentation with Large Language Model
MLCD-Seg-7B-81.5Multi-label Cluster Discrimination for Visual Representation Learning
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
C3VG-77.86Multi-task Visual Grounding with Coarse-to-Fine Consistency Constraints
MaskRIS (Swin-B, combined DB)-75.1MaskRIS: Semantic Distortion-aware Data Augmentation for Referring Image Segmentation
MaskRIS (Swin-B)76.0673.96MaskRIS: Semantic Distortion-aware Data Augmentation for Referring Image Segmentation
EVP-72.94EVP: Enhanced Visual Perception using Inverse Multi-Attentive Feature Refinement and Regularized Image-Text Alignment
MagNet-71.05Mask Grounding for Referring Image Segmentation
SafaRi-70.71SafaRi:Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation-
SeqTR- 64.12SeqTR: A Simple yet Universal Network for Visual Grounding
VATEX--Vision-Aware Text Features in Referring Image Segmentation: From Object Understanding to Context Understanding
0 of 12 row(s) selected.
Referring Expression Segmentation On Refcoco 9 | SOTA | HyperAI