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فصل الكائنات المرجعية في الفيديو
Referring Video Object Segmentation On Mevis
Referring Video Object Segmentation On Mevis
المقاييس
F
J
Ju0026F
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
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اسم النموذج
F
J
Ju0026F
Paper Title
Repository
DsHmp + MTCM
51.1
44.1
47.6
Multi-Context Temporal Consistent Modeling for Referring Video Object Segmentation
HTR
45.5
39.9
42.7
Temporally Consistent Referring Video Object Segmentation with Hybrid Memory
VRS-HQ (Chat-UniVi-13B)
53.7
48
50.9
The Devil is in Temporal Token: High Quality Video Reasoning Segmentation
InternVideo2.5
-
-
32
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
MPG-SAM 2
56.7
50.7
53.7
MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation
ReferFormer
32.2
29.8
31.0
Language as Queries for Referring Video Object Segmentation
DsHmp
49.8
43
46.4
Decoupling Static and Hierarchical Motion Perception for Referring Video Segmentation
SAMWISE
51.2
45.4
48.3
SAMWISE: Infusing Wisdom in SAM2 for Text-Driven Video Segmentation
LBDT
30.8
27.8
29.3
Language-Bridged Spatial-Temporal Interaction for Referring Video Object Segmentation
VLT+TC
37.3
33.6
35.5
VLT: Vision-Language Transformer and Query Generation for Referring Segmentation
LMPM
40.2
34.2
37.2
MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions
MTTR
31.2
28.8
30.0
End-to-End Referring Video Object Segmentation with Multimodal Transformers
URVOS
29.9
25.7
27.8
URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark
-
ReferDINO (Swin-B)
53.9
44.7
49.3
ReferDINO: Referring Video Object Segmentation with Visual Grounding Foundations
-
FindTrack
50.7
45.6
48.2
Find First, Track Next: Decoupling Identification and Propagation in Referring Video Object Segmentation
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