ML Research Wiki / Benchmarks / Unsupervised Object Segmentation / DAVIS 2016

DAVIS 2016

Unsupervised Object Segmentation Benchmark

Performance Over Time

📊 Showing 8 results | 📏 Metric: J score

Top Performing Models

Rank Model Paper J score Date Code
1 RCF (with Post-Processing) Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping 83.00 2023-04-17 📦 TonyLianLong/RCF-UnsupVideoSeg
2 RCF (without Post-Processing) Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping 80.90 2023-04-17 📦 TonyLianLong/RCF-UnsupVideoSeg
3 MOD Motion-inductive Self-supervised Object Discovery in Videos 73.90 2022-10-01 -
4 OCLR 📚 Segmenting Moving Objects via an Object-Centric Layered Representation 72.10 2022-07-05 📦 Jyxarthur/OCLR_model
5 GWM Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion 71.20 2022-05-16 -
6 EM EM-driven unsupervised learning for efficient motion segmentation 69.80 2022-01-06 📦 Etienne-Meunier-Inria/EM-Flow-Segmentation
7 MG Self-supervised Video Object Segmentation by Motion Grouping 68.30 2021-04-15 -
8 AMD 📚 The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos 57.80 2021-11-11 📦 rt219/the-emergence-of-objectness

All Papers (8)

TonyLianLong/RCF-UnsupVideoSeg
TonyLianLong/RCF-UnsupVideoSeg
Jyxarthur/OCLR_model
Etienne-Meunier-Inria/EM-Flow-Segmentation
rt219/the-emergence-of-objectness