Share your thoughts, 1 month free Claude Pro on usSee more
WorkDL logo mark

Toys

Benchmarks

Task NameDataset NameSOTA ResultTrend
Sequential RecommendationToys
Recall@56.01
42
Node ClassificationToys
Accuracy83.33
40
Sequential RecommendationToys (test)
NDCG@105.55
36
DenoisingToys 256 x 256 x 31 MSI (test)
PSNR37.34
35
Tensor CompletionToys 256 x 256 x 31
PSNR48.67
35
Sequential RecommendationToys (Overall)
Hit Rate @108.46
24
Generative RecommendationToys
Recall@100.0846
23
RecommendationToys
Hit Ratio@100.1101
21
Sequential RecommendationToys
Recall@108.02
20
3D Asset ReconstructionToys4k
CD0.0083
18
Node ClusteringToys
NMI54.66
17
Node ClassificationToys MAGB
Accuracy80.92
13
Sequential RecommendationToys
HR@2012.1264
12
Sequential RecommendationToys
HR@107.26
11
Image-to-3DToys4K
CLIP Similarity89.34
11
Modality RetrievalToys
R@50.6534
11
Generative RecommendationToys
Ad Rate94.3
11
Sequential RecommendationToys
HR@57.83
11
Sequential RecommendationToys
Recall@58.96
9
Multi-view 3D generationToys4K
CD (10^-4)4.16
9
Multimodal RecommendationToys
Recall@32.14
9
Direct RecommendationToys
Hit Rate@558.93
9
Refinement of VFM-derived artifactsToys4k (synthetically corrupted)
mIoU0.858
8
RecommendationToys TIGER Backbone (Period 4)
Hit Rate @52.69
7
RecommendationToys TIGER Backbone (Period 3)
H@53.09
7
Showing 25 of 39 rows