Semi Supervised Video Object Segmentation On 20

Metrics

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

Results

Performance results of various models on this benchmark

											Paper Title	Repository
HMMN	90.6	89.4	88.2	-	-	-	83.1	80.4	77.7	10.0	Hierarchical Memory Matching 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
AOT-S	-	-	-	-	-	-	82.0	79.2	76.4	40.0	Associating Objects with Transformers for Video Object Segmentation
SSTVOS	-	-	-	-	-	-	81.4	78.4	75.4	-	SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation
JOINT	-	-	-	-	-	-	81.2	78.6	76.0	4.00	Joint Inductive and Transductive Learning for Video Object Segmentation
SWEM	89.0	88.1	87.3	-	-	-	79.8	77.2	74.5	36.0	SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-Maximization
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	-
KMN	88.1	87.6	87.1	-	-	-	77.8	76.0	74.2	8.33	Kernelized Memory Network 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
LCM	-	-	-	-	-	-	77.2	75.2	73.1	8.47	Learning Position and Target Consistency for Memory-based Video Object Segmentation	-
RMNet	82.3	81.5	80.6	-	-	-	77.2	75.0	72.8	11.9	Efficient Regional Memory Network for Video Object Segmentation
LWL	-	-	-	-	-	-	76.3	74.3	72.2	14.0	Learning What to Learn 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
TVOS	-	-	-	67.4	63.1	58.8	74.7	72.3	69.9	37.0	A Transductive Approach for Video Object Segmentation
BMVOS	81.4	82.2	82.9	64.7	62.7	60.7	74.7	72.7	70.7	45.9	Pixel-Level Bijective Matching for 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
GC	85.7	86.6	87.6	-	-	-	73.5	71.4	69.3	25.0	Fast Video Object Segmentation using the Global Context Module
DMM-Net	-	-	-	-	-	-	73.3	70.7	68.1	-	DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation
FEELVOS	83.1	81.7	80.3	57.5	54.4	51.2	72.3	69.1	65.9	2.22	FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation
DIPNet	86.4	86.1	85.8	-	55.2	-	71.6	68.5	65.3	0.92	-	-

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Semi Supervised Video Object Segmentation On 20

Metrics

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