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Segmentation d'objets vidéo non supervisée
Unsupervised Video Object Segmentation On 10
Unsupervised Video Object Segmentation On 10
Métriques
F
G
J
Résultats
Résultats de performance de divers modèles sur ce benchmark
Columns
Nom du modèle
F
G
J
Paper Title
Repository
RTNet
84.7
85.2
85.6
Reciprocal Transformations for Unsupervised Video Object Segmentation
FakeFlow
89.0
88.5
88.0
Improving Unsupervised Video Object Segmentation via Fake Flow Generation
-
IMP
86.7
85.6
84.5
Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier
-
TransportNet
85.0
84.8
84.5
Deep Transport Network for Unsupervised Video Object Segmentation
-
TMO (MiT-b1)
87.8
87.2
86.6
Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentation
-
AGS
77.4
78.6
79.7
Learning Unsupervised Video Object Segmentation Through Visual Attention
-
PDB
74.5
75.9
77.2
Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection
-
3DC-Seg
84.7
84.5
84.3
Making a Case for 3D Convolutions for Object Segmentation in Videos
-
GSANet
89.6
88.9
88.3
Guided Slot Attention for Unsupervised Video Object Segmentation
-
DLDA
86.6
85.75
84.9
Self-supervised Video Object Segmentation with Distillation Learning of Deformable Attention
-
AGNN
79.1
79.9
80.7
Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks
-
PMN
86.4
85.9
85.4
Unsupervised Video Object Segmentation via Prototype Memory Network
-
TMO (RN-101)
86.6
86.1
85.6
Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentation
-
AMP
87.5
87.3
87.1
Adaptive Multi-source Predictor for Zero-shot Video Object Segmentation
-
DEVA (DIS)
90.2
88.9
87.6
Tracking Anything with Decoupled Video Segmentation
-
MATNet
80.7
81.6
82.4
Motion-Attentive Transition for Zero-Shot Video Object Segmentation
-
AMC-Net
84.6
84.6
84.5
Learning Motion-Appearance Co-Attention for Zero-Shot Video Object Segmentation
-
D2Conv3D
86.5
86.0
85.5
D2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos
DFNet
81.8
82.6
83.4
Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation
-
FSNet
83.1
83.3
83.4
Full-Duplex Strategy for Video Object Segmentation
-
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