Semi Supervised Video Object Segmentation On 20

評価指標

D16 val (F)

D16 val (G)

D16 val (J)

D17 test (F)

D17 test (G)

D17 test (J)

D17 val (F)

D17 val (G)

D17 val (J)

FPS

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名	D16 val (F)	D16 val (G)	D16 val (J)	D17 test (F)	D17 test (G)	D17 test (J)	D17 val (F)	D17 val (G)	D17 val (J)	FPS	Paper Title	Repository
RANet	85.4	85.5	85.5	57.2	55.3	53.4	68.2	65.7	63.2	30.3	RANet: Ranking Attention Network for Fast Video Object Segmentation	-
GC	85.7	86.6	87.6	-	-	-	73.5	71.4	69.3	25.0	Fast Video Object Segmentation using the Global Context Module
AGSS-VOS	-	-	-	59.7	57.2	54.8	69.9	67.4	64.9	10.0	AGSS-VOS: Attention Guided Single-Shot Video Object Segmentation
STM	88.1	86.5	84.8	-	-	-	74.0	71.6	69.2	6.25	Video Object Segmentation using Space-Time Memory Networks
LCM	-	-	-	-	-	-	77.2	75.2	73.1	8.47	Learning Position and Target Consistency for Memory-based Video Object Segmentation	-
DIPNet	86.4	86.1	85.8	-	55.2	-	71.6	68.5	65.3	0.92	-	-
RMNet	82.3	81.5	80.6	-	-	-	77.2	75.0	72.8	11.9	Efficient Regional Memory Network for Video Object Segmentation
TBD	86.2	86.8	87.5	72.2	69.4	66.6	82.3	80.0	77.6	50.1	Tackling Background Distraction in Video Object Segmentation
LWL	-	-	-	-	-	-	76.3	74.3	72.2	14.0	Learning What to Learn for Video Object Segmentation
SSTVOS	-	-	-	-	-	-	81.4	78.4	75.4	-	SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation
KMN	88.1	87.6	87.1	-	-	-	77.8	76.0	74.2	8.33	Kernelized Memory Network for Video Object Segmentation
STCNN	83.8	83.8	83.8	-	-	-	64.6	61.7	58.7	0.26	Spatiotemporal CNN for Video Object Segmentation
TVOS	-	-	-	67.4	63.1	58.8	74.7	72.3	69.9	37.0	A Transductive Approach for Video Object Segmentation
JOINT	-	-	-	-	-	-	81.2	78.6	76.0	4.00	Joint Inductive and Transductive Learning for Video Object Segmentation
STG-Net	86.0	85.7	85.4	66.5	63.1	59.7	77.9	74.7	71.5	-	Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation	-
AFB-URR	-	-	-	-	-	-	76.1	74.6	73.0	4.00	Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement
HMMN	90.6	89.4	88.2	-	-	-	83.1	80.4	77.7	10.0	Hierarchical Memory Matching Network for Video Object Segmentation
XMem	-	-	-	-	-	-	-	-	-	29.6	XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
AOT-S	-	-	-	-	-	-	82.0	79.2	76.4	40.0	Associating Objects with Transformers for Video Object Segmentation
CFBI	86.9	86.1	85.3	-	-	-	77.7	74.9	72.1	5.56	Collaborative Video Object Segmentation by Foreground-Background Integration

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