Video Object Segmentation On Davis 2016

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Jaccard (Mean)

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				Paper Title
AOC-MF (val)	94.7	-	88.5	Towards Robust Video Object Segmentation with Adaptive Object Calibration
XMem (BL30K, MS)	94.4	93.3	92.2	XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
ISVOS (BL30K, MS)	94.2	93.4	92.5	Look Before You Match: Instance Understanding Matters in Video Object Segmentation
BATMAN (val)	94.2	92.5	90.7	BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
RPCMVOS (val)	94	90.6	87.1	BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
XMem	92.7	91.5	90.4	XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
MobileVOS (val)	92.6	91.4	90.3	MobileVOS: Real-Time Video Object Segmentation Contrastive Learning meets Knowledge Distillation
STCN (val)	92.5	91.6	90.8	BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
AOT (val)	92.1	91.1	90.1	BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
KMN (val)	91.5	90.5	89.5	BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
LCM (val)	91.4	90.7	89.9	BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
TransVOS (val)	91.2	90.5	89.8	BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
CFBI+ (val)	91.1	89.9	88.7	BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
CFBI (val)	90.5	89.4	88.3	BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
ViTAE-T-Stage	90.4	89.8	89.2	ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias
STM (val)	89.9	-	88.7	BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
RMN (val)	88.7	88.8	88.9	BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
3DC-Seg	84.7	-	84.3	Making a Case for 3D Convolutions for Object Segmentation in Videos
DFNet	81.8	-	-	Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation
VOSwL (Language)	-	-	-	Video Object Segmentation with Language Referring Expressions

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Video Object Segmentation On Davis 2016

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