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Referring Expression Segmentation On Davis

Metrics

Ju0026F 1st frame

Results

Performance results of various models on this benchmark

Paper TitleRepository
UNINEXT-H72.5Universal Instance Perception as Object Discovery and Retrieval
HyperSeg71.2HyperSeg: Towards Universal Visual Segmentation with Large Language Model
DEVA (ReferFormer)66.3Tracking Anything with Decoupled Video Segmentation
HTR65.6Temporally Consistent Referring Video Object Segmentation with Hybrid Memory
SgMg63.3Spectrum-guided Multi-granularity Referring Video Object Segmentation
SafaRi-B61.3SafaRi:Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation-
ReferFormer61.1Language as Queries for Referring Video Object Segmentation
PolyFormer-B60.9PolyFormer: Referring Image Segmentation as Sequential Polygon Generation
UniVS(Swin-L)59.4?UniVS: Unified and Universal Video Segmentation with Prompts as Queries
URVOS + Refer-Youtube-VOS + ft. DAVIS51.63URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark-
HINet50.2Hierarchical interaction network for video object segmentation from referring expressions-
URVOS + Refer-Youtube-VOS46.85URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark-
RefVOS + SynthRef-YouTube-VIS45.3SynthRef: Generation of Synthetic Referring Expressions for Object Segmentation
RefVOS45.1SynthRef: Generation of Synthetic Referring Expressions for Object Segmentation
RefVOS44.5RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation
URVOS44.1URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark-
Khoreva et al.39.3Video Object Segmentation with Language Referring Expressions-
VATEX-Vision-Aware Text Features in Referring Image Segmentation: From Object Understanding to Context Understanding
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Referring Expression Segmentation On Davis | SOTA | HyperAI