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| {"key": "cifar10", "dataset": "CIFAR-10", "metrics": {"acc1": 0.1575, "acc5": 0.6409, "mean_per_class_recall": 0.1575, "main_metric": 0.1575}} | |
| {"key": "vtab/cifar100", "dataset": "CIFAR-100", "metrics": {"acc1": 0.022, "acc5": 0.0905, "mean_per_class_recall": 0.022000000000000002, "main_metric": 0.022}} | |
| {"key": "vtab/clevr_count_all", "dataset": "CLEVR Counts", "metrics": {"acc1": 0.12873333333333334, "acc5": 0.6212, "mean_per_class_recall": 0.12515604878264755, "main_metric": 0.12873333333333334}} | |
| {"key": "vtab/clevr_closest_object_distance", "dataset": "CLEVR Distance", "metrics": {"acc1": 0.21726666666666666, "acc5": 0.9186666666666666, "mean_per_class_recall": 0.19131707603718692, "main_metric": 0.21726666666666666}} | |
| {"key": "country211", "dataset": "Country211", "metrics": {"acc1": 0.005023696682464455, "acc5": 0.025639810426540285, "mean_per_class_recall": 0.005023696682464454, "main_metric": 0.005023696682464455}} | |
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| {"key": "vtab/eurosat", "dataset": "EuroSAT", "metrics": {"acc1": 0.15685185185185185, "acc5": 0.5888888888888889, "mean_per_class_recall": 0.14465851192289328, "main_metric": 0.15685185185185185}} | |
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| {"key": "food101", "dataset": "Food-101", "metrics": {"acc1": 0.009306930693069307, "acc5": 0.05425742574257426, "mean_per_class_recall": 0.009306930693069308, "main_metric": 0.009306930693069307}} | |
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| {"key": "imagenet1k", "dataset": "ImageNet 1k", "metrics": {"acc1": 0.00132, "acc5": 0.00818, "mean_per_class_recall": 0.00132, "main_metric": 0.00132}} | |
| {"key": "imagenet_sketch", "dataset": "ImageNet Sketch", "metrics": {"acc1": 0.0013362416239265853, "acc5": 0.006189942816718741, "mean_per_class_recall": 0.0013341176470588233, "main_metric": 0.0013362416239265853}} | |
| {"key": "imagenetv2", "dataset": "ImageNet v2", "metrics": {"acc1": 0.0009, "acc5": 0.0074, "mean_per_class_recall": 0.0008999999999999999, "main_metric": 0.0009}} | |
| {"key": "imagenet-a", "dataset": "ImageNet-A", "metrics": {"acc1": 0.006266666666666667, "acc5": 0.029733333333333334, "mean_per_class_recall": 0.006440631006436706, "main_metric": 0.006266666666666667}} | |
| {"key": "imagenet-o", "dataset": "ImageNet-O", "metrics": {"acc1": 0.0125, "acc5": 0.043, "mean_per_class_recall": 0.012264069264069265, "main_metric": 0.0125}} | |
| {"key": "imagenet-r", "dataset": "ImageNet-R", "metrics": {"acc1": 0.007566666666666667, "acc5": 0.029833333333333333, "mean_per_class_recall": 0.006664136354912364, "main_metric": 0.007566666666666667}} | |
| {"key": "vtab/kitti_closest_vehicle_distance", "dataset": "KITTI Vehicle Distance", "metrics": {"acc1": 0.2180028129395218, "acc5": null, "mean_per_class_recall": 0.1727439350623538, "main_metric": 0.2180028129395218}} | |
| {"key": "mnist", "dataset": "MNIST", "metrics": {"acc1": 0.0595, "acc5": 0.4926, "mean_per_class_recall": 0.058616478387926906, "main_metric": 0.0595}} | |
| {"key": "objectnet", "dataset": "ObjectNet", "metrics": {"acc1": 0.007645095294497685, "acc5": 0.0479164423387531, "mean_per_class_recall": 0.008899011200294864, "main_metric": 0.007645095294497685}} | |
| {"key": "vtab/flowers", "dataset": "Oxford Flowers-102", "metrics": {"acc1": 0.0047162140185396, "acc5": 0.04846316474223451, "mean_per_class_recall": 0.008531222565544843, "main_metric": 0.008531222565544843}} | |
| {"key": "vtab/pets", "dataset": "Oxford-IIIT Pet", "metrics": {"acc1": 0.02616516762060507, "acc5": 0.14309076042518398, "mean_per_class_recall": 0.026354791245658513, "main_metric": 0.026354791245658513}} | |
| {"key": "voc2007", "dataset": "Pascal VOC 2007", "metrics": {"acc1": 0.03579059829059829, "acc5": 0.33066239316239315, "mean_per_class_recall": 0.05688039312364575, "main_metric": 0.03579059829059829}} | |
| {"key": "vtab/pcam", "dataset": "PatchCamelyon", "metrics": {"acc1": 0.50054931640625, "acc5": null, "mean_per_class_recall": 0.5007625875523939, "main_metric": 0.50054931640625}} | |
| {"key": "renderedsst2", "dataset": "Rendered SST2", "metrics": {"acc1": 0.500823723228995, "acc5": null, "mean_per_class_recall": 0.5, "main_metric": 0.500823723228995}} | |
| {"key": "vtab/resisc45", "dataset": "RESISC45", "metrics": {"acc1": 0.041746031746031746, "acc5": 0.17857142857142858, "mean_per_class_recall": 0.04245896679742845, "main_metric": 0.041746031746031746}} | |
| {"key": "cars", "dataset": "Stanford Cars", "metrics": {"acc1": 0.0053475935828877, "acc5": 0.02984703395100112, "mean_per_class_recall": 0.005252985376067912, "main_metric": 0.0053475935828877}} | |
| {"key": "stl10", "dataset": "STL-10", "metrics": {"acc1": 0.1705, "acc5": 0.65925, "mean_per_class_recall": 0.1705, "main_metric": 0.1705}} | |
| {"key": "sun397", "dataset": "SUN397", "metrics": {"acc1": 0.0072549055666918, "acc5": 0.0287345752799897, "mean_per_class_recall": 0.006050044293568109, "main_metric": 0.0072549055666918}} | |
| {"key": "vtab/svhn", "dataset": "SVHN", "metrics": {"acc1": 0.10694529809465274, "acc5": 0.5476720958819914, "mean_per_class_recall": 0.10143455973215876, "main_metric": 0.10694529809465274}} | |
| {"key": "retrieval/flickr_1k_test_image_text_retrieval", "dataset": "Flickr", "metrics": {"image_retrieval_recall@1": 0.0017999999690800905, "text_retrieval_recall@1": 0.004000000189989805, "image_retrieval_recall@5": 0.008799999952316284, "text_retrieval_recall@5": 0.00800000037997961, "image_retrieval_recall@10": 0.01640000008046627, "text_retrieval_recall@10": 0.014000000432133675, "mean_recall@1": 0.002900000079534948, "main_metric": 0.002900000079534948}} | |
| {"key": "retrieval/mscoco_2014_5k_test_image_text_retrieval", "dataset": "MSCOCO", "metrics": {"image_retrieval_recall@1": 0.00043982407078146935, "text_retrieval_recall@1": 0.00019999999494757503, "image_retrieval_recall@5": 0.0018792483024299145, "text_retrieval_recall@5": 0.00139999995008111, "image_retrieval_recall@10": 0.003678528591990471, "text_retrieval_recall@10": 0.0031999999191612005, "mean_recall@1": 0.0003199120328645222, "main_metric": 0.0003199120328645222}} | |
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| {"key": "wilds/iwildcam", "dataset": "iWildCam", "metrics": {"acc1": 0.0005374962024724825, "acc5": 0.06891636091701527, "mean_per_class_recall": 0.0014487373135552357, "acc_avg": 0.0005374961765483022, "recall-macro_all": 0.0014487373135552357, "F1-macro_all": 0.0004293862616962524, "main_metric": 0.0004293862616962524}} | |
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