HyperAI超神经

首页资讯论文教程数据集百科 SOTA LLM 模型天梯 GPU 天梯顶会

中文

HyperAI超神经

Referring Video Object Segmentation On Ref

评估指标

F

J

Ju0026F

评测结果

各个模型在此基准测试上的表现结果

模型名称	F	J	Ju0026F	Paper Title	Repository
FindTrack	78.5	69.9	74.2	Find First, Track Next: Decoupling Identification and Propagation in Referring Video Object Segmentation	-
DsHmp	68.1	61.7	64.9	Decoupling Static and Hierarchical Motion Perception for Referring Video Segmentation	-
SOC	69.1	62.5	65.8	SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation	-
URVOS	56.0	47.3	51.6	URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark
HTML	65.1	59.2	62.1	HTML: Hybrid Temporal-scale Multimodal Learning Framework for Referring Video Object Segmentation	-
SgMg	66.0	60.6	63.3	Spectrum-guided Multi-granularity Referring Video Object Segmentation	-
VD-IT	72.6	66.2	69.4	Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object Segmentation	-
MUTR	71.3	64.8	68.0	Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation	-
ReferFormer	64.1	58.1	61.1	Language as Queries for Referring Video Object Segmentation	-
LoSh	66.8	61.8	64.3	LoSh: Long-Short Text Joint Prediction Network for Referring Video Object Segmentation	-
LBDT	-	-	54.5	Language-Bridged Spatial-Temporal Interaction for Referring Video Object Segmentation	-

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