Referring Expression Segmentation On J Hmdb

评估指标

IoU mean

IoU overall

评测结果

各个模型在此基准测试上的表现结果

									Paper Title
SgMg (Video-Swin-B)	0.450	0.725	0.737	0.972	0.917	0.714	0.225	0.003	Spectrum-guided Multi-granularity Referring Video Object Segmentation
SOC (Video-Swin-B)	0.446	0.723	0.736	0.969	0.914	0.711	0.213	0.001	SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation
SOC (Video-Swin-T)	0.397	0.701	0.707	0.947	0.864	0.627	0.179	0.001	SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation
MTTR (w=10)	0.392	0.698	0.701	0.939	0.852	0.616	0.166	0.001	End-to-End Referring Video Object Segmentation with Multimodal Transformers
MTTR (w=8)	0.366	0.679	0.674	0.91	0.815	0.57	0.144	0.001	End-to-End Referring Video Object Segmentation with Multimodal Transformers
ClawCraneNet	-	0.655	0.644	0.880	0.796	0.566	0.147	0.002	ClawCraneNet: Leveraging Object-level Relation for Text-based Video Segmentation
VLIDE	0.441	0.666	0.68	0.874	0.791	0.586	0.182	0.30	Deeply Interleaved Two-Stream Encoder for Referring Video Segmentation
HINet	-	0.627	0.652	0.819	0.736	0.542	0.168	0.4	Hierarchical interaction network for video object segmentation from referring expressions
CMPC-V	0.342	0.617	0.616	0.813	0.657	0.371	0.07	0.000	Cross-Modal Progressive Comprehension for Referring Segmentation
Hui et al.	0.335	0.604	0.598	0.783	0.639	0.378	0.076	0.000	Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation
AAMN	0.321	0.576	0.583	0.773	0.627	0.360	0.044	0.000	Actor and Action Modular Network for Text-based Video Segmentation
CMSA+CFSA	-	0.581	0.628	0.764	0.625	0.389	0.09	0.001	Referring Segmentation in Images and Videos with Cross-Modal Self-Attention Network
ACGA	0.289	0.584	0.576	0.756	0.564	0.287	0.034	0.000	Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language Query
CMDy	0.301	0.576	0.554	0.742	0.587	0.316	0.047	0.000	Context Modulated Dynamic Networks for Actor and Action Video Segmentation with Language Queries
RefVOS	-	0.568	0.606	0.731	0.62	0.392	0.088	0.0	Hierarchical interaction network for video object segmentation from referring expressions
Gavrilyuk et al. (Optical flow)	0.267	0.570	0.555	0.712	0.518	0.264	0.030	0.000	Actor and Action Video Segmentation from a Sentence
Gavrilyuk et al.	0.233	0.542	0.541	0.699	0.460	0.173	0.014	0.000	Actor and Action Video Segmentation from a Sentence
VT-Capsule	0.261	0.550	0.535	0.677	0.513	0.283	0.051	0.000	Visual-Textual Capsule Routing for Text-Based Video Segmentation
Hu et al.	0.178	0.528	0.546	0.633	0.350	0.085	0.002	0.000	Segmentation from Natural Language Expressions
Li et al.	0.173	0.491	0.529	0.578	0.335	0.103	0.060	0.000	Tracking by Natural Language Specification

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Referring Expression Segmentation On J Hmdb

评估指标

评测结果

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Referring Expression Segmentation On J Hmdb

评估指标

评测结果