HyperAI超神经

Video Object Segmentation On Youtube Vos

评估指标

F-Measure (Seen)
F-Measure (Unseen)
Jaccard (Seen)
Jaccard (Unseen)
Overall
Params(M)
Speed (FPS)

评测结果

各个模型在此基准测试上的表现结果

比较表格
模型名称F-Measure (Seen)F-Measure (Unseen)Jaccard (Seen)Jaccard (Unseen)OverallParams(M)Speed (FPS)
associating-objects-with-transformers-for84.783.580.075.280.95.341.0
rethinking-space-time-networks-with-improved87.987.383.279.0---
video-object-segmentation-using-space-time----68.2--
collaborative-video-object-segmentation-by85.883.481.175.381.466.33.4
xmem-long-term-video-object-segmentation-with89.989.985.381.786.7--
youtube-vos-sequence-to-sequence-video-object70.061.271.0-64.4-55.5
associating-objects-with-scalable90.287.385.178.985.415.1-
kernelized-memory-network-for-video-object85.683.381.475.381.4--
associating-objects-with-transformers-for89.588.284.579.685.514.96.4
decoupling-features-in-hierarchical89.988.784.980.486.019.8-
associating-objects-with-scalable88.587.283.578.884.513.9-
modular-interactive-video-object-segmentation84.785.580.677.382.0--
xmem-long-term-video-object-segmentation-with89.388.784.680.285.7-22.6
one-shot-video-object-segmentation60.560.759.854.258.8-0.10
decoupling-features-in-hierarchical89.4-84.278.684.8--
associating-objects-with-transformers-for88.586.583.678.084.18.320.5
video-object-segmentation-with-adaptive83.182.678.874.179.6--
reliable-propagation-correction-modulation87.786.783.1-84--
associating-objects-with-scalable88.887.983.879.385.015.4-
decoupling-features-in-hierarchical90.688.485.680.086.270.3-
efficient-video-object-segmentation-via60.144.060.040.651.2-7.14
associating-objects-with-transformers-for87.586.082.677.783.58.320.5
decoupling-features-in-hierarchical88.386.683.377.984.010.2-
associating-objects-with-transformers-for87.085.782.277.383.07.927.1
hierarchical-memory-matching-network-for87.084.682.176.882.6--
learning-quality-aware-dynamic-memory-for87.586.482.778.483.8--
associating-objects-with-scalable86.183.581.475.581.612.5-
collaborative-video-object-segmentation-by-186.685.681.877.182.8-4.0
rvos-end-to-end-recurrent-network-for-video67.251.063.6-56.8-45.5
efficient-regional-memory-network-for-video85.782.482.175.781.5--
make-one-shot-video-object-segmentation-166.073.871.774.371.4--
region-aware-video-object-segmentation-with87.887.483.179.184.4-23
associating-objects-with-transformers-for86.785.082.076.682.67.927.1
delving-into-the-cyclic-mechanism-in-semi75.870.471.7-69.9-61.4
separable-structure-modeling-for-semi73.362.672.357.866.5-24.1
associating-objects-with-transformers-for88.586.183.778.184.114.914.9
capsulevos-semi-supervised-video-object68.159.967.353.762.3-13.5
putting-the-object-back-into-video-object91.090.186.682.287.5--
self-supervised-video-object-segmentation-by-168.473.267.064.568.2--
decoupling-features-in-hierarchical88.987.083.978.584.613.2-
xmem-long-term-video-object-segmentation-with88.587.283.778.284.4-22.6
learning-fast-and-robust-target-models-for76.274.172.3-72.1-65.9
associating-objects-with-scalable90.188.2-79.685.8--
associating-objects-with-transformers-for89.386.484.377.984.565.49.3
associating-objects-with-transformers-for90.186.985.178.485.165.45.2
associating-objects-with-transformers-for88.887.183.778.484.58.36.5
associating-objects-with-scalable90.788.985.680.786.565.6-
associating-objects-with-transformers-for84.582.280.174.080.25.341.0
xmem-long-term-video-object-segmentation-with90.390.285.681.786.9--
reliable-propagation-correction-modulation87.986.983.378.984.3--
xmem-long-term-video-object-segmentation-with89.889.285.180.386.1-22.6
decoupling-features-in-hierarchical86.384.281.675.882.07.2-
associating-objects-with-transformers-for87.986.582.977.783.88.316.0