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Referring Expression Segmentation On Davis

Metrics

Ju0026F 1st frame

Results

Performance results of various models on this benchmark

Model Name
Ju0026F 1st frame
Paper TitleRepository
DEVA (ReferFormer)66.3Tracking Anything with Decoupled Video Segmentation-
UNINEXT-H72.5Universal Instance Perception as Object Discovery and Retrieval-
URVOS + Refer-Youtube-VOS + ft. DAVIS51.63URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark
SgMg63.3Spectrum-guided Multi-granularity Referring Video Object Segmentation-
RefVOS44.5RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation-
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-
HTR65.6Temporally Consistent Referring Video Object Segmentation with Hybrid Memory-
HINet50.2Hierarchical interaction network for video object segmentation from referring expressions-
RefVOS45.1SynthRef: Generation of Synthetic Referring Expressions for Object Segmentation-
ReferFormer61.1Language as Queries for Referring Video Object Segmentation-
URVOS + Refer-Youtube-VOS46.85URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark
UniVS(Swin-L)59.4?UniVS: Unified and Universal Video Segmentation with Prompts as Queries-
URVOS44.1URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark
PolyFormer-B60.9PolyFormer: Referring Image Segmentation as Sequential Polygon Generation-
HyperSeg71.2HyperSeg: Towards Universal Visual Segmentation with Large Language Model-
SafaRi-B61.3SafaRi:Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation-
RefVOS + SynthRef-YouTube-VIS45.3SynthRef: Generation of Synthetic Referring Expressions for Object Segmentation-
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Referring Expression Segmentation On Davis | SOTA | HyperAI