Visual Object Tracking On Davis 2016

평가 지표

F-measure (Decay)

F-measure (Mean)

F-measure (Recall)

Ju0026F

Jaccard (Decay)

Jaccard (Mean)

Jaccard (Recall)

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	F-measure (Decay)	F-measure (Mean)	F-measure (Recall)	Ju0026F	Jaccard (Decay)	Jaccard (Mean)	Jaccard (Recall)	Paper Title	Repository
CINM	14.7	85.0	92.1	84.2	12.3	83.4	94.9	CNN in MRF: Video Object Segmentation via Inference in A CNN-Based Higher-Order Spatio-Temporal MRF	-
XMem (DAVIS+YouTubeVOS only)	-	91.9	-	90.8	-	89.6	-	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	-
SwinB-AOT-L	-	93.3	-	92.0	-	90.7	-	Associating Objects with Transformers for Video Object Segmentation
VOSwL	8.6	84.2	93.9	83.65	6.9	83.1	95.7	Video Object Segmentation with Language Referring Expressions	-
XMem (MS)	-	93.5	-	92.7	-	92.0	-	XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
HMMN	-	92.0	-	90.8	-	89.6	-	Hierarchical Memory Matching Network for Video Object Segmentation
AOT-L	-	91.1	-	90.4	-	89.6	-	Associating Objects with Transformers for Video Object Segmentation
CFBI	-	90.5	-	89.4	-	88.3	-	Collaborative Video Object Segmentation by Foreground-Background Integration
AOT-L	-	91.1	-	89.9	-	88.7	-	Associating Objects with Transformers for Video Object Segmentation
FAVOS	5.5	79.5	89.4	80.95	4.5	82.4	96.5	Fast and Accurate Online Video Object Segmentation via Tracking Parts
DeAOT-B	-	92.5	-	91.0	-	89.4	-	Decoupling Features in Hierarchical Propagation for Video Object Segmentation
PReMVOS	9.8	88.6	94.7	86.75	8.8	84.9	96.1	PReMVOS: Proposal-generation, Refinement and Merging for Video Object Segmentation
Siam R-CNN	4.0	80.4	87.6	78.6	2.2	76.8	86.4	Siam R-CNN: Visual Tracking by Re-Detection	-
R50-AOST (L'=3)	-	93.6	-	92.1	-	90.6	-	Scalable Video Object Segmentation with Identification Mechanism
MobileVOS	-	91.6	-	90.6	-	89.7	-	MobileVOS: Real-Time Video Object Segmentation Contrastive Learning meets Knowledge Distillation	-
MSK	9.0	75.4	87.1	77.55	8.9	79.7	93.1	Learning Video Object Segmentation from Static Images
SFSeg over OnAVOS	-	-	-	-	-	86.3	-	A 3D Convolutional Approach to Spectral Object Segmentation in Space and Time
RGMP	10.1	82.0	90.8	81.75	10.9	81.5	91.7	Fast Video Object Segmentation by Reference-Guided Mask Propagation
SwinB-AOTv2-L	-	94.1	-	92.4	-	90.6	-	Scalable Video Object Segmentation with Identification Mechanism

0 of 78 row(s) selected.