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1207.4708v2
[ { "index": 5, "records": [ { "column": 3, "dataset": "Atari 2600 Asterix", "metric": "Score", "model": "Best Learner", "row": 1, "task": "Atari Games", "value": "987.3" }, { "column": 3, "dataset": "Atari 2600 Beam Rid...
1208.5092v1
[ { "index": 0, "records": [ { "column": 9, "dataset": "Coil-20", "metric": "NMI", "model": "GDL-U", "row": 1, "task": "Image Clustering", "value": "0.937" }, { "column": 10, "dataset": "Coil-20", "metric": "NMI"...
1312.5602v1
[ { "index": 0, "records": [ { "column": 1, "dataset": "Atari 2600 Beam Rider", "metric": "Score", "model": "DQN Best", "row": 8, "task": "Atari Games", "value": "5184" }, { "column": 2, "dataset": "Atari 2600 Breakout",...
1312.6173v4
[ { "index": 0, "records": [ { "column": 1, "dataset": "Reuters RCV1/RCV2 English-to-German", "metric": "Accuracy", "model": "biCVM+", "row": 6, "task": "Cross-Lingual Document Classification", "value": "86.2" }, { "column": 2, ...
1404.4641v1
[ { "index": 0, "records": [ { "column": 1, "dataset": "Reuters RCV1/RCV2 English-to-German", "metric": "Accuracy", "model": "Bi+", "row": 14, "task": "Cross-Lingual Document Classification", "value": "88.1" }, { "column": 2, ...
1406.2199v2
[ { "index": 4, "records": [ { "column": 1, "dataset": "HMDB51", "metric": "Accuracy", "model": "Two-stream model (fusion by SVM)", "row": 9, "task": "Action Classification", "value": "88" } ] } ]
1410.2455v3
[ { "index": 0, "records": [ { "column": 1, "dataset": "Reuters En-De", "metric": "Accuracy", "model": "BilBOWA", "row": 7, "task": "Document Classification", "value": "86.5" }, { "column": 2, "dataset": "Reuters De-En",...
1411.0589v3
[ { "index": 2, "records": [ { "column": 1, "dataset": "ArrayCGH", "metric": "Accuracy", "model": "Fused Lasso", "row": 1, "task": "Microarray Classification", "value": "73.6" }, { "column": 1, "dataset": "Leukemias", ...
1412.6334v4
[ { "index": 1, "records": [ { "column": 2, "dataset": "Reuters RCV1/RCV2 English-to-German", "metric": "Accuracy", "model": "Biinclusion (Euro500kReuters)", "row": 12, "task": "Cross-Lingual Document Classification", "value": "92.7" }, ...
1502.00873v1
[ { "index": 0, "records": [ { "column": 1, "dataset": "Labeled Faces in the Wild", "metric": "Accuracy", "model": "DeepID3", "row": 8, "task": "Face Verification", "value": "99.53" } ] } ]
1506.01911v3
[ { "index": 0, "records": [ { "column": 1, "dataset": "Montalbano", "metric": "Jaccard (Mean)", "model": "Temp Conv + LSTM", "row": 7, "task": "Gesture Recognition", "value": "90.6" }, { "column": 2, "dataset": "Montalb...
1507.02159v1
[ { "index": 2, "records": [ { "column": 2, "dataset": "UCF101", "metric": "3-fold Accuracy", "model": "Very deep two-stream ConvNet", "row": 8, "task": "Action Recognition In Videos", "value": "91.4" } ] } ]
1509.06461v3
[ { "index": 4, "records": [ { "column": 5, "dataset": "Atari 2600 Asterix", "metric": "Score", "model": "DDQN (tuned) hs", "row": 4, "task": "Atari Games", "value": "16837.0" } ] } ]
1510.04935v2
[ { "index": 2, "records": [ { "column": 3, "dataset": "WN18", "metric": "Hits@1", "model": "HolE", "row": 7, "task": "Link Prediction", "value": "0.93" }, { "column": 4, "dataset": "WN18", "metric": "Hits@3", ...
1511.02799v4
[ { "index": 2, "records": [ { "column": 4, "dataset": "VQA v1 test-dev", "metric": "Accuracy", "model": "NMN+LSTM+FT", "row": 7, "task": "Visual Question Answering", "value": "58.6" }, { "column": 5, "dataset": "VQA v1 ...
1511.05952v4
[ { "index": 6, "records": [ { "column": 7, "dataset": "Atari 2600 Alien", "metric": "Score", "model": "Prior hs", "row": 2, "task": "Atari Games", "value": "1334.7" }, { "column": 7, "dataset": "Atari 2600 Amidar", ...
1511.06581v3
[ { "index": 1, "records": [ { "column": 8, "dataset": "Atari 2600 Asterix", "metric": "Score", "model": "Prior+Duel noop", "row": 4, "task": "Atari Games", "value": "375080.0" }, { "column": 6, "dataset": "Atari 2600 De...
1512.01693v1
[ { "index": 0, "records": [ { "column": 1, "dataset": "Atari 2600 Breakout", "metric": "Score", "model": "DARQN hard", "row": 3, "task": "Atari Games", "value": "20" }, { "column": 2, "dataset": "Atari 2600 Seaquest", ...
1512.02325v5
[ { "index": 0, "records": [ { "column": 2, "dataset": "PASCAL VOC 2007", "metric": "MAP", "model": "SSD512 (07+12+COCO)", "row": 11, "task": "Object Detection", "value": "81.6" } ] }, { "index": 3, "records": [ { ...
1512.04860v1
[ { "index": 0, "records": [ { "column": 2, "dataset": "Atari 2600 Asterix", "metric": "Score", "model": "Advantage Learning", "row": 1, "task": "Atari Games", "value": "12852.08" }, { "column": 3, "dataset": "Atari 2600...
1601.02129v2
[ { "index": 0, "records": [ { "column": 3, "dataset": "MEXaction2", "metric": "mAP", "model": "S-CNN", "row": 2, "task": "Temporal Action Localization", "value": "7.4" } ] }, { "index": 1, "records": [ { "column...
1602.04621v3
[ { "index": 0, "records": [ { "column": 3, "dataset": "Atari 2600 Alien", "metric": "Score", "model": "Bootstrapped DQN", "row": 1, "task": "Atari Games", "value": "2436.6" }, { "column": 3, "dataset": "Atari 2600 Amida...
1603.00550v3
[ { "index": 1, "records": [ { "column": 1, "dataset": "AWA - 0-Shot", "metric": "Accuracy", "model": "Synthesised Classifier", "row": 12, "task": "Few-Shot Image Classification", "value": "72.9%" }, { "column": 2, "data...
1603.01417v1
[ { "index": 2, "records": [ { "column": 1, "dataset": "VQA v1 test-dev", "metric": "Accuracy", "model": "DMN+", "row": 12, "task": "Visual Question Answering", "value": "60.3" }, { "column": 5, "dataset": "VQA v1 test-s...
1603.08861v2
[ { "index": 2, "records": [ { "column": 1, "dataset": "Citeseer", "metric": "Accuracy", "model": "Planetoid-I", "row": 4, "task": "Node Classification", "value": "64.7" }, { "column": 3, "dataset": "Pubmed", "me...
1604.02129v2
[ { "index": 1, "records": [ { "column": 1, "dataset": "Horizon Lines in the Wild", "metric": "AUC (horizon error)", "model": "GoogleNet (Huber Loss, horizon line projection)", "row": 2, "task": "Horizon Line Estimation", "value": "71.16" }, ...
1604.03628v3
[ { "index": 2, "records": [ { "column": 1, "dataset": "Coil-20", "metric": "NMI", "model": "JULE-RC", "row": 14, "task": "Image Clustering", "value": "1" }, { "column": 2, "dataset": "coil-100", "metric": "NMI",...
1604.06573v2
[ { "index": 4, "records": [ { "column": 1, "dataset": "UCF101", "metric": "3-fold Accuracy", "model": "S:VGG-16, T:VGG-16", "row": 13, "task": "Action Recognition In Videos", "value": "92.5" }, { "column": 2, "dataset":...
1604.06778v3
[ { "index": 0, "records": [ { "column": 11, "dataset": "Cart-Pole Balancing", "metric": "Score", "model": "TRPO", "row": 1, "task": "Continuous Control", "value": "4869.8" }, { "column": 11, "dataset": "Inverted Pendulu...
1605.02097v2
[ { "index": 1, "records": [ { "column": 1, "dataset": "ViZDoom Basic Scenario", "metric": "Average Score", "model": "DQN", "row": 6, "task": "Game of Doom", "value": "82.2" } ] } ]
1605.05395v1
[ { "index": 0, "records": [ { "column": 2, "dataset": "CUB-200-2011 - 0-Shot", "metric": "Top-1 Accuracy", "model": "Word CNN-RNN (DS-SJE Embedding)", "row": 10, "task": "Few-Shot Image Classification", "value": "56.8%" }, { "c...
1605.07651v3
[ { "index": 1, "records": [ { "column": 22, "dataset": "PASCAL VOC 2007", "metric": "MAP", "model": "Self-Paced Learning", "row": 12, "task": "Weakly Supervised Object Detection", "value": "38.11" } ] } ]
1605.08140v3
[ { "index": 0, "records": [ { "column": 1, "dataset": "DogCentric", "metric": "Accuracy", "model": "Sub-events (temporal filters + LSTM)", "row": 8, "task": "Activity Recognition In Videos", "value": "81.4" } ] }, { "index": 2, ...
1606.00061v5
[ { "index": 0, "records": [ { "column": 5, "dataset": "COCO Visual Question Answering (VQA) real images 1.0 open ended", "metric": "Percentage correct", "model": "HQI+ResNet", "row": 11, "task": "Visual Question Answering", "value": "62.1" }...
1606.01847v3
[ { "index": 2, "records": [ { "column": 7, "dataset": "Visual7W", "metric": "Percentage correct", "model": "MCB+Att.", "row": 3, "task": "Visual Question Answering", "value": "62.2" } ] }, { "index": 3, "records": [ { ...
1606.02185v2
[ { "index": 0, "records": [ { "column": 6, "dataset": "OMNIGLOT - 1-Shot, 5-way", "metric": "Accuracy", "model": "Neural Statistician", "row": 4, "task": "Few-Shot Image Classification", "value": "98.1" }, { "column": 6, ...
1606.04080v2
[ { "index": 0, "records": [ { "column": 3, "dataset": "OMNIGLOT - 1-Shot, 5-way", "metric": "Accuracy", "model": "Matching Nets", "row": 9, "task": "Few-Shot Image Classification", "value": "98.1" }, { "column": 4, "dat...
1606.04582v6
[ { "index": 0, "records": [ { "column": 11, "dataset": "bAbi", "metric": "Mean Error Rate", "model": "QRN", "row": 4, "task": "Question Answering", "value": "0.3" } ] } ]
1606.06329v2
[ { "index": 0, "records": [ { "column": 1, "dataset": "JIGSAWS", "metric": "Accuracy", "model": "Bidir. LSTM", "row": 7, "task": "Surgical Skills Evaluation", "value": "0.833" }, { "column": 2, "dataset": "JIGSAWS", ...
1606.08921v3
[ { "index": 1, "records": [ { "column": 9, "dataset": "BSD200 sigma10", "metric": "PSNR", "model": "RED30", "row": 2, "task": "Grayscale Image Denoising", "value": "33.63" }, { "column": 9, "dataset": "BSD200 sigma30", ...
1608.03981v1
[ { "index": 4, "records": [ { "column": 4, "dataset": "BSD68 sigma15", "metric": "PSNR", "model": "DnCNN-3", "row": 3, "task": "Color Image Denoising", "value": "31.46" }, { "column": 4, "dataset": "BSD68 sigma25", ...
1608.05684v1
[ { "index": 1, "records": [ { "column": 1, "dataset": "York Urban Dataset", "metric": "AUC (horizon error)", "model": "CNN+FULL", "row": 6, "task": "Horizon Line Estimation", "value": "94.78" }, { "column": 2, "dataset"...
1608.06019v1
[ { "index": 0, "records": [ { "column": 1, "dataset": "MNIST-to-MNIST-M", "metric": "Accuracy", "model": "DSN (DANN)", "row": 7, "task": "Domain Adaptation", "value": "83.2" }, { "column": 2, "dataset": "Synth Digits-to...
1608.06993v5
[ { "index": 1, "records": [ { "column": 7, "dataset": "SVHN", "metric": "Percentage error", "model": "DenseNet", "row": 18, "task": "Image Classification", "value": "1.59" }, { "column": 4, "dataset": "CIFAR-10", ...
1609.01743v1
[ { "index": 5, "records": [ { "column": 8, "dataset": "MPII Human Pose", "metric": "PCKh-0.5", "model": "Part heatmap regression (ResNet-152)", "row": 1, "task": "Pose Estimation", "value": "89.7" } ] }, { "index": 6, "record...
1609.04802v5
[ { "index": 0, "records": [ { "column": 1, "dataset": "Set5 - 4x upscaling", "metric": "PSNR", "model": "SRResNet", "row": 2, "task": "Image Super-Resolution", "value": "32.05" }, { "column": 5, "dataset": "Set5 - 4x up...
1611.01628v5
[ { "index": 4, "records": [ { "column": 5, "dataset": "allrecipes.com", "metric": "Perplexity", "model": "Latent Variable Model", "row": 6, "task": "Recipe Generation", "value": "4.97" }, { "column": 8, "dataset": "allr...
1611.02205v2
[ { "index": 2, "records": [ { "column": 1, "dataset": "F-Zero", "metric": "Score", "model": "DQN", "row": 1, "task": "SNES Games", "value": "3116" }, { "column": 2, "dataset": "F-Zero", "metric": "Score", ...
1611.09978v1
[ { "index": 1, "records": [ { "column": 2, "dataset": "Visual Genome (subjects)", "metric": "Percentage correct", "model": "CMN", "row": 4, "task": "Visual Question Answering", "value": "44.24" }, { "column": 3, "datase...
1612.02903v1
[ { "index": 3, "records": [ { "column": 4, "dataset": "FER2013", "metric": "Accuracy", "model": "VGG", "row": 1, "task": "Facial Expression Recognition", "value": "72.7" }, { "column": 4, "dataset": "FER2013", "...
1612.03242v2
[ { "index": 0, "records": [ { "column": 4, "dataset": "CUB", "metric": "Inception score", "model": "StackGAN", "row": 1, "task": "Text-to-Image Generation", "value": "3.7" }, { "column": 4, "dataset": "Oxford 102 Flower...
1612.06371v2
[ { "index": 0, "records": [ { "column": 3, "dataset": "Charades", "metric": "MAP", "model": "Asyn-TF", "row": 6, "task": "Action Classification", "value": "22.4" } ] } ]
1703.01515v2
[ { "index": 1, "records": [ { "column": 1, "dataset": "THUMOS’14", "metric": "mAP IOU@0.3", "model": "CDC", "row": 13, "task": "Temporal Action Localization", "value": "40.1" }, { "column": 2, "dataset": "THUMOS’14", ...
1703.02716v1
[ { "index": 7, "records": [ { "column": 1, "dataset": "ActivityNet-1.3", "metric": "mAP IOU@0.5", "model": "SSN", "row": 6, "task": "Temporal Action Localization", "value": "39.12" } ] } ]
1703.03129v1
[ { "index": 0, "records": [ { "column": 1, "dataset": "OMNIGLOT - 1-Shot, 5-way", "metric": "Accuracy", "model": "ConvNet with Memory Module", "row": 5, "task": "Few-Shot Image Classification", "value": "98.4" }, { "column": 2,...
1703.05175v2
[ { "index": 0, "records": [ { "column": 3, "dataset": "OMNIGLOT - 1-Shot, 5-way", "metric": "Accuracy", "model": "Prototypical Networks", "row": 5, "task": "Few-Shot Image Classification", "value": "98.8" }, { "column": 4, ...
1703.06189v2
[ { "index": 2, "records": [ { "column": 1, "dataset": "THUMOS’14", "metric": "mAP IOU@0.1", "model": "TURN-FL-16 + S-CNN", "row": 8, "task": "Temporal Action Localization", "value": "54" }, { "column": 2, "dataset": "TH...
1703.06520v3
[ { "index": 0, "records": [ { "column": 1, "dataset": "ICDAR 2015", "metric": "Precision", "model": "SegLink", "row": 8, "task": "Scene Text Detection", "value": "73.1" }, { "column": 2, "dataset": "ICDAR 2015", ...
1703.07814v2
[ { "index": 0, "records": [ { "column": 1, "dataset": "THUMOS’14", "metric": "mAP IOU@0.1", "model": "R-C3D", "row": 13, "task": "Temporal Action Localization", "value": "54.5" }, { "column": 2, "dataset": "THUMOS’14", ...
1703.07980v1
[ { "index": 2, "records": [ { "column": 8, "dataset": "MNIST-full", "metric": "Accuracy", "model": "DBC", "row": 1, "task": "Image Clustering", "value": "0.964" }, { "column": 8, "dataset": "MNIST-full", "metric...
1703.10295v3
[ { "index": 8, "records": [ { "column": 3, "dataset": "PASCAL VOC 2007", "metric": "MAP", "model": "DeNet-101 (skip)", "row": 11, "task": "Object Detection", "value": "77.1" } ] } ]
1703.10316v4
[ { "index": 2, "records": [ { "column": 1, "dataset": "WN18", "metric": "MR", "model": "ParTransH", "row": 8, "task": "Link Prediction", "value": "215" }, { "column": 2, "dataset": "WN18 (filtered)", "metric": "...
1703.10667v1
[ { "index": 4, "records": [ { "column": 1, "dataset": "UCF101", "metric": "3-fold Accuracy", "model": "TS-LSTM", "row": 10, "task": "Action Recognition In Videos", "value": "94.1" }, { "column": 2, "dataset": "HMDB-51",...
1704.02901v3
[ { "index": 0, "records": [ { "column": 1, "dataset": "Sydney Urban Objects", "metric": "F1", "model": "ECC", "row": 7, "task": "3D Point Cloud Classification", "value": "78.4" } ] }, { "index": 1, "records": [ { ...
1704.03155v2
[ { "index": 2, "records": [ { "column": 1, "dataset": "ICDAR 2015", "metric": "Recall", "model": "EAST + PVANET2x RBOX (multi-scale)", "row": 1, "task": "Scene Text Detection", "value": "78.33" }, { "column": 2, "datase...
1704.03162v2
[ { "index": 1, "records": [ { "column": 4, "dataset": "VQA v1 test-dev", "metric": "Accuracy", "model": "SAAA (ResNet)", "row": 13, "task": "Visual Question Answering", "value": "64.5" }, { "column": 8, "dataset": "VQA ...
1704.03264v1
[ { "index": 0, "records": [ { "column": 5, "dataset": "BSD68 sigma15", "metric": "PSNR", "model": "Deep CNN Denoiser", "row": 1, "task": "Grayscale Image Denoising", "value": "31.63" }, { "column": 5, "dataset": "BSD68 ...
1704.04516v1
[ { "index": 0, "records": [ { "column": 1, "dataset": "NTU RGB+D", "metric": "Accuracy (CS)", "model": "TCN", "row": 7, "task": "Skeleton Based Action Recognition", "value": "74.3" }, { "column": 2, "dataset": "NTU RGB+...
1704.04861v1
[ { "index": 3, "records": [ { "column": 1, "dataset": "ImageNet", "metric": "Top 1 Accuracy", "model": "MobileNet-224", "row": 3, "task": "Image Classification", "value": "70.6" } ] } ]
1704.05526v3
[ { "index": 3, "records": [ { "column": 2, "dataset": "VQA v2 test-dev", "metric": "Accuracy", "model": "N2NMN (ResNet-152, policy search)", "row": 6, "task": "Visual Question Answering", "value": "64.9" } ] } ]
1704.06228v2
[ { "index": 3, "records": [ { "column": 1, "dataset": "THUMOS’14", "metric": "mAP@0.1", "model": "SSN", "row": 9, "task": "Action Recognition In Videos", "value": "66.0" }, { "column": 2, "dataset": "THUMOS’14", ...
1704.06326v2
[ { "index": 3, "records": [ { "column": 1, "dataset": "VOT2016", "metric": "Expected Average Overlap (EAO)", "model": "CFCF", "row": 1, "task": "Visual Object Tracking", "value": "0.3903" } ] } ]
1705.00835v1
[ { "index": 1, "records": [ { "column": 1, "dataset": "NTU RGB+D", "metric": "Accuracy (CV)", "model": "Five Spatial Skeleton Features", "row": 10, "task": "Skeleton Based Action Recognition", "value": "82.31" } ] } ]
1705.01180v1
[ { "index": 4, "records": [ { "column": 1, "dataset": "THUMOS’14", "metric": "mAP IOU@0.1", "model": "CBR-TS", "row": 6, "task": "Temporal Action Localization", "value": "60.1" }, { "column": 2, "dataset": "THUMOS’14", ...
1705.06676v1
[ { "index": 3, "records": [ { "column": 4, "dataset": "VQA v2 test-dev", "metric": "Accuracy", "model": "MUTAN", "row": 12, "task": "Visual Question Answering", "value": "67.42" }, { "column": 8, "dataset": "VQA v2 test...
1705.07057v4
[ { "index": 0, "records": [ { "column": 1, "dataset": "UCI POWER", "metric": "Log-likelihood", "model": "MADE MoG", "row": 3, "task": "Density Estimation", "value": "0.4" }, { "column": 3, "dataset": "UCI GAS", ...
1705.07750v3
[ { "index": 4, "records": [ { "column": 2, "dataset": "HMDB-51", "metric": "Average accuracy of 3 splits", "model": "Two-stream I3D", "row": 17, "task": "Action Recognition In Videos", "value": "80.9" } ] } ]
1705.08039v2
[ { "index": 1, "records": [ { "column": 6, "dataset": "WordNet", "metric": "Accuracy", "model": "Poincare Embeddings (dim=10)", "row": 10, "task": "Link Prediction", "value": "68.3" }, { "column": 7, "dataset": "WordNet...
1705.08421v4
[ { "index": 2, "records": [ { "column": 1, "dataset": "J-HMDB-21", "metric": "Frame-mAP", "model": "Faster-RCNN + two-stream I3D conv", "row": 5, "task": "Temporal Action Localization", "value": "73.3" }, { "column": 2, ...
1706.01789v2
[ { "index": 3, "records": [ { "column": 1, "dataset": "300W", "metric": "Mean Error Rate private", "model": "DAN-Menpo + inter-ocular normalization", "row": 7, "task": "Face Alignment", "value": "3.97" } ] } ]
1706.03466v3
[ { "index": 2, "records": [ { "column": 1, "dataset": "Mini-Imagenet 5-way (1-shot)", "metric": "Accuracy", "model": "Category-agnostic mapping WRN", "row": 7, "task": "Few-Shot Image Classification", "value": "59.60" }, { "col...
1706.06978v4
[ { "index": 2, "records": [ { "column": 1, "dataset": "MovieLens 20M", "metric": "AUC", "model": "DIN", "row": 7, "task": "Click-Through Rate Prediction", "value": "0.7337" }, { "column": 3, "dataset": "Amazon", ...
1706.10295v3
[ { "index": 2, "records": [ { "column": 8, "dataset": "Atari 2600 Alien", "metric": "Score", "model": "NoisyNet-Dueling", "row": 1, "task": "Atari Games", "value": "5778" }, { "column": 8, "dataset": "Atari 2600 Amidar"...
1707.02377v1
[ { "index": 0, "records": [ { "column": 2, "dataset": "IMDb", "metric": "Accuracy", "model": "Doc2VecC", "row": 8, "task": "Sentiment Analysis", "value": "88.3" } ] }, { "index": 5, "records": [ { "column": 1, ...
1707.02921v1
[ { "index": 2, "records": [ { "column": 7, "dataset": "Set5 - 4x upscaling", "metric": "PSNR", "model": "EDSR", "row": 3, "task": "Image Super-Resolution", "value": "32.46" }, { "column": 7, "dataset": "Set14 - 4x upsca...
1707.02968v2
[ { "index": 0, "records": [ { "column": 1, "dataset": "ImageNet", "metric": "Top 1 Accuracy", "model": "ResNet-101 (JFT-300M Finetuning)", "row": 3, "task": "Image Classification", "value": "79.2" }, { "column": 2, "dat...
1707.03497v2
[ { "index": 1, "records": [ { "column": 1, "dataset": "Atari 2600 Frostbite", "metric": "Score", "model": "VPN", "row": 2, "task": "Atari Games", "value": "3811" }, { "column": 2, "dataset": "Atari 2600 Seaquest", ...
1707.03692v1
[ { "index": 0, "records": [ { "column": 2, "dataset": "MGB", "metric": "Accuracy", "model": "F-BLSTM", "row": 13, "task": "Hand Gesture Recognition", "value": "98.04" } ] }, { "index": 1, "records": [ { "column"...
1707.05005v1
[ { "index": 1, "records": [ { "column": 1, "dataset": "MUTAG", "metric": "Accuracy", "model": "Graph2Vec", "row": 5, "task": "Graph Classification", "value": "83.15" }, { "column": 2, "dataset": "PTC", "metric":...
1707.06690v3
[ { "index": 1, "records": [ { "column": 2, "dataset": "FB15k-237", "metric": "Mean AP", "model": "RL", "row": 13, "task": "Link Prediction", "value": "57.2" }, { "column": 7, "dataset": "NELL-995", "metric": "Me...
1707.06887v1
[ { "index": 2, "records": [ { "column": 4, "dataset": "Atari 2600 Asterix", "metric": "Score", "model": "DDQN (tuned) noop", "row": 4, "task": "Atari Games", "value": "17356.5" }, { "column": 4, "dataset": "Atari 2600 B...
1707.07248v1
[ { "index": 0, "records": [ { "column": 1, "dataset": "ICVL Hands", "metric": "Average 3D Error", "model": "Tree Region Ensemble Network", "row": 6, "task": "Hand Pose Estimation", "value": "7.31" } ] }, { "index": 1, "record...
1707.07998v3
[ { "index": 4, "records": [ { "column": 4, "dataset": "VQA v2 test-std", "metric": "Accuracy", "model": "Up-Down", "row": 8, "task": "Visual Question Answering", "value": "70.34" } ] } ]
1707.09605v2
[ { "index": 0, "records": [ { "column": 1, "dataset": "ShanghaiTech A", "metric": "MAE", "model": "Proposed method", "row": 5, "task": "Crowd Counting", "value": "101.3" }, { "column": 2, "dataset": "ShanghaiTech A", ...
1708.02711v1
[ { "index": 2, "records": [ { "column": 1, "dataset": "VQA v2 test-dev", "metric": "Accuracy", "model": "Image features from bottom-up attention (adaptive K, ensemble)", "row": 16, "task": "Visual Question Answering", "value": "69.87" }, ...
1708.06720v1
[ { "index": 1, "records": [ { "column": 1, "dataset": "ICDAR 2013", "metric": "Recall", "model": "WordSup (VGG16-synth-icdar)", "row": 7, "task": "Scene Text Detection", "value": "87.53" }, { "column": 2, "dataset": "IC...
1709.00138v1
[ { "index": 2, "records": [ { "column": 1, "dataset": "ICDAR 2013", "metric": "Recall", "model": "SSTD", "row": 14, "task": "Scene Text Detection", "value": "86" }, { "column": 2, "dataset": "ICDAR 2013", "metri...
1709.00503v2
[ { "index": 0, "records": [ { "column": 1, "dataset": "Cart Pole (OpenAI Gym)", "metric": "Score", "model": "MAC", "row": 5, "task": "Continuous Control", "value": "178.3" }, { "column": 2, "dataset": "Lunar Lander (Ope...
1709.03272v4
[ { "index": 0, "records": [ { "column": 1, "dataset": "ICDAR 2015", "metric": "Precision", "model": "FTSN + MNMS", "row": 10, "task": "Scene Text Detection", "value": "88.6" }, { "column": 2, "dataset": "ICDAR 2015", ...
1709.03409v2
[ { "index": 3, "records": [ { "column": 2, "dataset": "Shoes", "metric": "R@1", "model": "EdgeMAC + whitening", "row": 13, "task": "Sketch-Based Image Retrieval", "value": "54.8" }, { "column": 3, "dataset": "Shoes", ...
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