Semi Supervised Video Object Segmentation On 20

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											Paper Title
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

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