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1902.04502v1 | [
{
"index": 3,
"records": [
{
"column": 1,
"dataset": "Cityscapes test",
"metric": "Mean IoU (class)",
"model": "Fast-SCNN",
"row": 10,
"task": "Semantic Segmentation",
"value": "68"
}
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},
{
"index": 5,
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"column": 1,
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"metric": "mIoU",
"model": "Fast-SCNN + Coarse + ImageNet",
"row": 5,
"task": "Semantic Segmentation",
"value": "69.19"
}
]
}
] |
1902.05356v1 | [
{
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"dataset": "KITTI Depth Completion",
"metric": "RMSE",
"model": "FusionNet",
"row": 12,
"task": "Depth Completion",
"value": "773.0"
},
{
"column": 3,
"dataset": "KITTI Depth Completion",
"metric": "MAE",
"model": "FusionNet",
"row": 12,
"task": "Depth Completion",
"value": "215"
}
]
}
] |
1902.05509v2 | [
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"column": 5,
"dataset": "ImageNet",
"metric": "Top 1 Accuracy",
"model": "MultiGrain ResNet-50 (AutoAugment, 224px)",
"row": 5,
"task": "Image Classification",
"value": "78.2"
},
{
"column": 5,
"dataset": "ImageNet",
"metric": "Top 1 Accuracy",
"model": "MultiGrain ResNet-50 (AutoAugment, 500px)",
"row": 7,
"task": "Image Classification",
"value": "79.4"
}
]
},
{
"index": 3,
"records": [
{
"column": 2,
"dataset": "INRIA Holidays",
"metric": "Mean mAP",
"model": "MultiGrain R50 @ 500",
"row": 1,
"task": "Image Retrieval",
"value": "91.8"
},
{
"column": 2,
"dataset": "INRIA Holidays",
"metric": "Mean mAP",
"model": "MultiGrain R50 @ 800",
"row": 4,
"task": "Image Retrieval",
"value": "92.5"
}
]
},
{
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{
"column": 4,
"dataset": "ImageNet",
"metric": "Top 1 Accuracy",
"model": "MultiGrain NASNet-A-Mobile (350px)",
"row": 2,
"task": "Image Classification",
"value": "75.1"
},
{
"column": 4,
"dataset": "ImageNet",
"metric": "Top 1 Accuracy",
"model": "MultiGrain SENet154 (350px)",
"row": 3,
"task": "Image Classification",
"value": "82.6"
},
{
"column": 6,
"dataset": "ImageNet",
"metric": "Top 1 Accuracy",
"model": "MultiGrain SENet154 (350px)",
"row": 3,
"task": "Image Classification",
"value": "83"
},
{
"column": 8,
"dataset": "ImageNet",
"metric": "Top 1 Accuracy",
"model": "MultiGrain SENet154 (450px)",
"row": 3,
"task": "Image Classification",
"value": "83.1"
},
{
"column": 10,
"dataset": "ImageNet",
"metric": "Top 1 Accuracy",
"model": "MultiGrain SENet154 (500px)",
"row": 3,
"task": "Image Classification",
"value": "82.7"
},
{
"column": 4,
"dataset": "ImageNet",
"metric": "Top 1 Accuracy",
"model": "MultiGrain PNASNet (300px)",
"row": 4,
"task": "Image Classification",
"value": "81.3"
},
{
"column": 6,
"dataset": "ImageNet",
"metric": "Top 1 Accuracy",
"model": "MultiGrain PNASNet (400px)",
"row": 4,
"task": "Image Classification",
"value": "82.6"
},
{
"column": 8,
"dataset": "ImageNet",
"metric": "Top 1 Accuracy",
"model": "MultiGrain PNASNet (450px)",
"row": 4,
"task": "Image Classification",
"value": "83.2"
},
{
"column": 10,
"dataset": "ImageNet",
"metric": "Top 1 Accuracy",
"model": "MultiGrain PNASNet (500px)",
"row": 4,
"task": "Image Classification",
"value": "83.6"
}
]
}
] |
1902.05694v2 | [
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"dataset": "Set5 - 2x upscaling",
"metric": "PSNR",
"model": "LFFN-S",
"row": 8,
"task": "Image Super-Resolution",
"value": "37.66"
},
{
"column": 5,
"dataset": "Set5 - 2x upscaling",
"metric": "SSIM",
"model": "LFFN-S",
"row": 8,
"task": "Image Super-Resolution",
"value": "0.9585"
},
{
"column": 6,
"dataset": "Manga109 - 2x upscaling",
"metric": "PSNR",
"model": "LFFN-S",
"row": 8,
"task": "Image Super-Resolution",
"value": "37.93"
},
{
"column": 7,
"dataset": "Manga109 - 2x upscaling",
"metric": "SSIM",
"model": "LFFN-S",
"row": 8,
"task": "Image Super-Resolution",
"value": "0.9746"
},
{
"column": 8,
"dataset": "BSD100 - 2x upscaling",
"metric": "PSNR",
"model": "LFFN-S",
"row": 8,
"task": "Image Super-Resolution",
"value": "31.96"
},
{
"column": 4,
"dataset": "Set5 - 3x upscaling",
"metric": "PSNR",
"model": "LFFN-S",
"row": 15,
"task": "Image Super-Resolution",
"value": "34.04"
},
{
"column": 5,
"dataset": "Set5 - 3x upscaling",
"metric": "SSIM",
"model": "LFFN-S",
"row": 15,
"task": "Image Super-Resolution",
"value": "0.9233"
},
{
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"dataset": "Manga109 - 3x upscaling",
"metric": "PSNR",
"model": "LFFN-S",
"row": 15,
"task": "Image Super-Resolution",
"value": "32.8"
},
{
"column": 7,
"dataset": "Manga109 - 3x upscaling",
"metric": "SSIM",
"model": "LFFN-S",
"row": 15,
"task": "Image Super-Resolution",
"value": "0.9381"
},
{
"column": 8,
"dataset": "BSD100 - 3x upscaling",
"metric": "PSNR",
"model": "LFFN-S",
"row": 15,
"task": "Image Super-Resolution",
"value": "28.91"
},
{
"column": 4,
"dataset": "Set5 - 4x upscaling",
"metric": "PSNR",
"model": "LFFN-S",
"row": 22,
"task": "Image Super-Resolution",
"value": "31.79"
},
{
"column": 5,
"dataset": "Set5 - 4x upscaling",
"metric": "SSIM",
"model": "LFFN-S",
"row": 22,
"task": "Image Super-Resolution",
"value": "0.8886"
},
{
"column": 6,
"dataset": "Manga109 - 4x upscaling",
"metric": "PSNR",
"model": "LFFN-S",
"row": 22,
"task": "Image Super-Resolution",
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},
{
"column": 7,
"dataset": "Manga109 - 4x upscaling",
"metric": "SSIM",
"model": "LFFN-S",
"row": 22,
"task": "Image Super-Resolution",
"value": "0.8979"
},
{
"column": 8,
"dataset": "BSD100 - 4x upscaling",
"metric": "PSNR",
"model": "LFFN-S",
"row": 22,
"task": "Image Super-Resolution",
"value": "27.42"
}
]
}
] |
1902.06188v2 | [
{
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{
"column": 1,
"dataset": "Frappe",
"metric": "Recall@10",
"model": "RATE-CSE",
"row": 12,
"task": "Recommendation Systems",
"value": "33.47"
},
{
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"dataset": "Frappe",
"metric": "mAP@10",
"model": "RATE-CSE",
"row": 12,
"task": "Recommendation Systems",
"value": "0.2047"
},
{
"column": 3,
"dataset": "CiteULike",
"metric": "Recall@10",
"model": "RATE-CSE",
"row": 12,
"task": "Recommendation Systems",
"value": "0.2362"
},
{
"column": 4,
"dataset": "CiteULike",
"metric": "mAP@10",
"model": "RATE-CSE",
"row": 12,
"task": "Recommendation Systems",
"value": "0.1452"
},
{
"column": 5,
"dataset": "Netflix",
"metric": "Recall@10",
"model": "RATE-CSE",
"row": 12,
"task": "Recommendation Systems",
"value": "0.2014"
},
{
"column": 6,
"dataset": "Netflix",
"metric": "mAP@10",
"model": "RATE-CSE",
"row": 12,
"task": "Recommendation Systems",
"value": "0.1039"
},
{
"column": 7,
"dataset": "MovieLens-Latest",
"metric": "Recall@10",
"model": "RATE-CSE",
"row": 12,
"task": "Recommendation Systems",
"value": "0.3225"
},
{
"column": 8,
"dataset": "MovieLens-Latest",
"metric": "mAP@10",
"model": "RATE-CSE",
"row": 12,
"task": "Recommendation Systems",
"value": "0.199"
}
]
},
{
"index": 2,
"records": [
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"column": 1,
"dataset": "Last.FM-360k",
"metric": "Recall@10",
"model": "RANK-CSE",
"row": 11,
"task": "Recommendation Systems",
"value": "0.1762"
},
{
"column": 2,
"dataset": "Last.FM-360k",
"metric": "mAP@10",
"model": "RANK-CSE",
"row": 11,
"task": "Recommendation Systems",
"value": "0.097"
},
{
"column": 3,
"dataset": "Amazon-Book",
"metric": "Recall@10",
"model": "RANK-CSE",
"row": 11,
"task": "Recommendation Systems",
"value": "0.0625"
},
{
"column": 4,
"dataset": "Amazon-Book",
"metric": "mAP@10",
"model": "RANK-CSE",
"row": 11,
"task": "Recommendation Systems",
"value": "0.0274"
},
{
"column": 5,
"dataset": "Epinions-Extend",
"metric": "Recall@10",
"model": "RANK-CSE",
"row": 11,
"task": "Recommendation Systems",
"value": "0.1767"
},
{
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"dataset": "Epinions-Extend",
"metric": "mAP@10",
"model": "RANK-CSE",
"row": 11,
"task": "Recommendation Systems",
"value": "0.0921"
},
{
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"dataset": "Echonest",
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"model": "RANK-CSE",
"row": 11,
"task": "Recommendation Systems",
"value": "0.1358"
},
{
"column": 8,
"dataset": "Echonest",
"metric": "mAP@10",
"model": "RANK-CSE",
"row": 11,
"task": "Recommendation Systems",
"value": "0.0679"
}
]
}
] |
1902.06236v1 | [
{
"index": 1,
"records": [
{
"column": 4,
"dataset": "MovieLens 1M",
"metric": "HR@10",
"model": "KTUP (soft)",
"row": 11,
"task": "Recommendation Systems",
"value": "0.8903"
},
{
"column": 5,
"dataset": "MovieLens 1M",
"metric": "NDCG",
"model": "KTUP (soft)",
"row": 11,
"task": "Recommendation Systems",
"value": "0.6992"
},
{
"column": 9,
"dataset": "DBbook2014",
"metric": "HR@10",
"model": "KTUP (soft)",
"row": 11,
"task": "Recommendation Systems",
"value": "0.3461"
},
{
"column": 10,
"dataset": "DBbook2014",
"metric": "NDCG",
"model": "KTUP (soft)",
"row": 11,
"task": "Recommendation Systems",
"value": "0.2762"
}
]
},
{
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"dataset": "MovieLens 1M",
"metric": "Hits@10",
"model": "KTUP (soft)",
"row": 10,
"task": "Knowledge Graph Completion",
"value": "48.9"
},
{
"column": 2,
"dataset": "MovieLens 1M",
"metric": "Mean Rank",
"model": "KTUP (soft)",
"row": 10,
"task": "Knowledge Graph Completion",
"value": "527"
},
{
"column": 3,
"dataset": "DBbook2014",
"metric": "Hits@10",
"model": "KTUP (soft)",
"row": 10,
"task": "Knowledge Graph Completion",
"value": "60.75"
},
{
"column": 4,
"dataset": "DBbook2014",
"metric": "Mean Rank",
"model": "KTUP (soft)",
"row": 10,
"task": "Knowledge Graph Completion",
"value": "499"
}
]
}
] |
1902.06684v1 | [
{
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"dataset": "DBLP",
"metric": "AUC",
"model": "HSRL (DW)",
"row": 4,
"task": "Link Prediction",
"value": "84.7"
},
{
"column": 3,
"dataset": "MIT",
"metric": "AUC",
"model": "HSRL (DW)",
"row": 4,
"task": "Link Prediction",
"value": "92.6"
},
{
"column": 4,
"dataset": "Yelp",
"metric": "AUC",
"model": "HSRL (DW)",
"row": 4,
"task": "Link Prediction",
"value": "90.1"
},
{
"column": 5,
"dataset": "Douban",
"metric": "AUC",
"model": "HSRL (DW)",
"row": 4,
"task": "Link Prediction",
"value": "84.2"
}
]
}
] |
1902.07104v3 | [
{
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"dataset": "Mini-Imagenet 5-way (1-shot)",
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"model": "AM3-TADAM",
"row": 27,
"task": "Few-Shot Image Classification",
"value": "65.30"
},
{
"column": 2,
"dataset": "Mini-Imagenet 5-way (5-shot)",
"metric": "Accuracy",
"model": "AM3-TADAM",
"row": 27,
"task": "Few-Shot Image Classification",
"value": "78.10"
},
{
"column": 3,
"dataset": "Mini-Imagenet 5-way (10-shot)",
"metric": "Accuracy",
"model": "AM3-TADAM",
"row": 27,
"task": "Few-Shot Image Classification",
"value": "81.57"
}
]
},
{
"index": 1,
"records": [
{
"column": 1,
"dataset": "Tiered ImageNet 5-way (1-shot)",
"metric": "Accuracy",
"model": "AM3-TADAM",
"row": 20,
"task": "Few-Shot Image Classification",
"value": "69.08"
},
{
"column": 2,
"dataset": "Tiered ImageNet 5-way (5-shot)",
"metric": "Accuracy",
"model": "AM3-TADAM",
"row": 20,
"task": "Few-Shot Image Classification",
"value": "82.58"
}
]
}
] |
1902.07153v2 | [
{
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"column": 2,
"dataset": "R8",
"metric": "Accuracy",
"model": "SGCN",
"row": 4,
"task": "Text Classification",
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},
{
"column": 2,
"dataset": "R52",
"metric": "Accuracy",
"model": "SGCN",
"row": 6,
"task": "Text Classification",
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},
{
"column": 2,
"dataset": "Ohsumed",
"metric": "Accuracy",
"model": "SGCN",
"row": 8,
"task": "Text Classification",
"value": "68.5"
}
]
}
] |
1902.08226v2 | [
{
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"column": 2,
"dataset": "Citeseer",
"metric": "Accuracy",
"model": "GraphVAT",
"row": 7,
"task": "Node Classification",
"value": "73.7"
},
{
"column": 3,
"dataset": "Cora",
"metric": "Accuracy",
"model": "GraphVAT",
"row": 7,
"task": "Node Classification",
"value": "82.6"
},
{
"column": 4,
"dataset": "NELL",
"metric": "Accuracy",
"model": "GraphVAT",
"row": 7,
"task": "Node Classification",
"value": "64.7"
}
]
}
] |
1902.08399v1 | [
{
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"column": 1,
"dataset": "MUTAG",
"metric": "Accuracy",
"model": "BC + Capsules",
"row": 12,
"task": "Graph Classification",
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},
{
"column": 2,
"dataset": "PTC",
"metric": "Accuracy",
"model": "BC + Capsules",
"row": 12,
"task": "Graph Classification",
"value": "69"
},
{
"column": 3,
"dataset": "PROTEINS",
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"model": "BC + Capsules",
"row": 12,
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},
{
"column": 4,
"dataset": "NCI1",
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"model": "BC + Capsules",
"row": 12,
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},
{
"column": 5,
"dataset": "NCI109",
"metric": "Accuracy",
"model": "BC + Capsules",
"row": 12,
"task": "Graph Classification",
"value": "58.04"
},
{
"column": 6,
"dataset": "D&D",
"metric": "Accuracy",
"model": "BC + Capsules",
"row": 12,
"task": "Graph Classification",
"value": "74.86"
},
{
"column": 7,
"dataset": "ENZYMES",
"metric": "Accuracy",
"model": "BC + Capsules",
"row": 12,
"task": "Graph Classification",
"value": "27"
}
]
}
] |
1902.08788v2 | [
{
"index": 0,
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"dataset": "CK+",
"metric": "Accuracy (10-fold)",
"model": "Facial Motion Prior Network",
"row": 10,
"task": "Facial Expression Recognition",
"value": "98.06"
},
{
"column": 3,
"dataset": "MMI",
"metric": "Accuracy",
"model": "Facial Motion Prior Network",
"row": 10,
"task": "Facial Expression Recognition",
"value": "82.74"
},
{
"column": 4,
"dataset": "AffectNet",
"metric": "Accuracy",
"model": "Facial Motion Prior Network",
"row": 10,
"task": "Facial Expression Recognition",
"value": "61.52"
}
]
}
] |
1902.08850v3 | [
{
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"dataset": "Reuters-21578",
"metric": "F1",
"model": "VLAWE",
"row": 27,
"task": "Document Classification",
"value": "89.3"
},
{
"column": 4,
"dataset": "TREC-6",
"metric": "Error",
"model": "VLAWE",
"row": 27,
"task": "Text Classification",
"value": "5.8"
}
]
}
] |
1902.09212v1 | [
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},
{
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"dataset": "COCO test-dev",
"metric": "AP50",
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},
{
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},
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"task": "Pose Estimation",
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},
{
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"dataset": "COCO test-dev",
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"row": 18,
"task": "Pose Estimation",
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},
{
"column": 10,
"dataset": "COCO test-dev",
"metric": "AR",
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"row": 18,
"task": "Pose Estimation",
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}
]
},
{
"index": 2,
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"dataset": "MPII Human Pose",
"metric": "PCKh-0.5",
"model": "HRNet-W32",
"row": 16,
"task": "Pose Estimation",
"value": "92.3"
}
]
},
{
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{
"column": 2,
"dataset": "PoseTrack2017",
"metric": "MAP",
"model": "HRNet-W48 COCO",
"row": 12,
"task": "Pose Tracking",
"value": "74.9"
},
{
"column": 3,
"dataset": "PoseTrack2017",
"metric": "MOTA",
"model": "HRNet-W48 COCO",
"row": 12,
"task": "Pose Tracking",
"value": "57.9"
}
]
}
] |
1902.09314v2 | [
{
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"dataset": "Twitter",
"metric": "Accuracy",
"model": "AEN-GloVe",
"row": 13,
"task": "Sentiment Analysis",
"value": "72.83"
},
{
"column": 4,
"dataset": "SemEval 2014 Task 4 Sub Task 2",
"metric": "Restaurant (Acc)",
"model": "AEN-GloVe",
"row": 13,
"task": "Aspect-Based Sentiment Analysis",
"value": "80.98"
},
{
"column": 6,
"dataset": "SemEval 2014 Task 4 Sub Task 2",
"metric": "Laptop (Acc)",
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"row": 13,
"task": "Aspect-Based Sentiment Analysis",
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},
{
"column": 2,
"dataset": "Twitter",
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"row": 14,
"task": "Sentiment Analysis",
"value": "73.55"
},
{
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"dataset": "SemEval 2014 Task 4 Sub Task 2",
"metric": "Restaurant (Acc)",
"model": "BERT-SPC",
"row": 14,
"task": "Aspect-Based Sentiment Analysis",
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},
{
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"dataset": "SemEval 2014 Task 4 Sub Task 2",
"metric": "Laptop (Acc)",
"model": "BERT-SPC",
"row": 14,
"task": "Aspect-Based Sentiment Analysis",
"value": "78.99"
},
{
"column": 2,
"dataset": "Twitter",
"metric": "Accuracy",
"model": "AEN-BERT",
"row": 15,
"task": "Sentiment Analysis",
"value": "74.71"
},
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] |
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}
] |
1904.05044v3 | [
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},
{
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"task": "Semantic Segmentation",
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}
]
}
] |
1904.05059v2 | [
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}
]
}
] |
1904.05512v1 | [
{
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}
] |
1904.05547v1 | [
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}
]
}
] |
1904.05647v1 | [
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] |
1904.05677v1 | [
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]
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] |
1904.05866v1 | [
{
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{
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"metric": "v2v error",
"model": "SMPLify-X",
"row": 4,
"task": "Multimodal Emotion Recognition",
"value": "52.9"
}
]
}
] |
1904.05880v2 | [
{
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{
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{
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{
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{
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},
{
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{
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{
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{
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"value": "57.20"
}
]
}
] |
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