Home Console Docs News Papers Tutorials Datasets Wiki SOTA LLM Models GPU Leaderboard Events

English

Interactive Segmentation On Davis

Metrics

NoC@85

NoC@90

Results

Performance results of various models on this benchmark

			Paper Title	Repository
DOS w/o GC	12.52	17.11	Deep Interactive Object Selection
DOS with GC	9.03	12.58	Deep Interactive Object Selection
BRS	5.58	8.24	Interactive Image Segmentation via Backpropagating Refinement Scheme	-
IA+SA	5.16	-	Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections	-
Latent diversity	5.05	9.57	Interactive Image Segmentation With Latent Diversity	-
f-BRS-B (ResNet-101)	5.04	7.41	f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation
EdgeFlow	4.54	5.77	EdgeFlow: Achieving Practical Interactive Segmentation with Edge-Guided Flow
RITM (HRNet18, SBD)	4.36	5.74	Reviving Iterative Training with Mask Guidance for Interactive Segmentation
SimpleClick (ViT-H, SBD)	4.20	5.34	SimpleClick: Interactive Image Segmentation with Simple Vision Transformers
RITM (HRNet-32, C+L)	4.11	5.34	Reviving Iterative Training with Mask Guidance for Interactive Segmentation
IA-FP-Net	4.03	5.22	Cascaded Sparse Feature Propagation Network for Interactive Segmentation
SimpleClick (ViT-H, C+L)	3.41	4.70	SimpleClick: Interactive Image Segmentation with Simple Vision Transformers
ICL CFR-1 (ViT-H, C+L)	3	4.24	CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation
FocalClick-B3-S2	2.92	4.52	FocalClick: Towards Practical Interactive Image Segmentation
ViT-B+MST+CL	-	4.55	MST: Adaptive Multi-Scale Tokens Guided Interactive Segmentation

0 of 15 row(s) selected.

Interactive Segmentation On Davis | SOTA | HyperAI