MSCOCO
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
Monet style erasure & MSCOCO-30k
25.23CS (Erasure)
8
MSCOCO
62.9Recall@1
8
MSCOCO
31I→T Retrieval
8
MSCOCO (val)
20.4CHAIRS Score
8
MSCOCO Average performance across VLMs (test)
87.33AUC
8
MSCOCO Qwen3-VL 3 (test)
86.89AUC
8
MSCOCO Gemma 3 (test)
85.59AUC
8
MSCOCO LLaVA 1.5 (test)
89.73AUC
8
MSCOCO (val)
6.87Correctness
8
MSCOCO 5K (test)
42.8Recall@1
8
MSCOCO M50 occlusion (val)
37.2mAP (Box)
7
MSCOCO M30 occlusion (val)
40.6mAP (Box)
7
MSCOCO Clean (val)
45mAP (Box)
7
MSCOCO
82.8Accuracy
7
MSCOCO 256
4.57FID
7
MSCOCO Base 48 classes
54.5mAP
7
MSCOCO 256x256 (test)
9.3FID (0 Ref)
7
MSCOCO Meta-Dataset 1.0 (test)
41.74Accuracy
7
MSCOCO
61CHAIRS Score
6
MSCOCO CHAIR (val)
54.1CHAIR_S
6
MSCOCO
94.4Scenario 1 Performance
6
MSCOCO V↔T zero-shot
1.3R@1
6
MSCOCO (val)
8.2Accuracy
6
MSCOCO Target 17 classes
27.5mAP
6
MSCOCO
80.8Additive Top-1 Acc
6