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Models/Mask2Former + Intra-Batch Supervision (ResNet-50)

Mask2Former + Intra-Batch Supervision (ResNet-50)

Reported on 18 benchmarks across 3 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical6 results

Semantic SegmentationonCityscapes val
PQ· 2023-04-17
62.4
best: 70.8 (ViT-P (OneFormer, InternImage-H))
Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images arXiv:2304.08222
Semantic SegmentationonCityscapes val
PQst· 2023-04-17
67.3
best: 74.1 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images arXiv:2304.08222
Semantic SegmentationonCityscapes val
PQth· 2023-04-17
54.7
best: 64.6 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images arXiv:2304.08222
Semantic SegmentationonMapillary val
PQ· 2023-04-17
42.2
best: 46.7 (OneFormer (DiNAT-L, single-scale))
Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images arXiv:2304.08222
Semantic SegmentationonMapillary val
PQst· 2023-04-17
52
best: 54.9 (OneFormer (DiNAT-L, single-scale))
Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images arXiv:2304.08222
Semantic SegmentationonMapillary val
PQth· 2023-04-17
34.9
best: 40.8 (Panoptic FCN* (Swin-L, single-scale))
Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images arXiv:2304.08222

Audio6 results

10-shot image generationonCityscapes val
PQ· 2023-04-17
62.4
best: 70.8 (ViT-P (OneFormer, InternImage-H))
Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images arXiv:2304.08222
10-shot image generationonCityscapes val
PQst· 2023-04-17
67.3
best: 74.1 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images arXiv:2304.08222
10-shot image generationonCityscapes val
PQth· 2023-04-17
54.7
best: 64.6 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images arXiv:2304.08222
10-shot image generationonMapillary val
PQ· 2023-04-17
42.2
best: 46.7 (OneFormer (DiNAT-L, single-scale))
Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images arXiv:2304.08222
10-shot image generationonMapillary val
PQst· 2023-04-17
52
best: 54.9 (OneFormer (DiNAT-L, single-scale))
Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images arXiv:2304.08222
10-shot image generationonMapillary val
PQth· 2023-04-17
34.9
best: 40.8 (Panoptic FCN* (Swin-L, single-scale))
Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images arXiv:2304.08222

Computer Vision6 results

Panoptic SegmentationonCityscapes val
PQ· 2023-04-17
62.4
best: 70.8 (ViT-P (OneFormer, InternImage-H))
Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images arXiv:2304.08222
Panoptic SegmentationonCityscapes val
PQst· 2023-04-17
67.3
best: 74.1 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images arXiv:2304.08222
Panoptic SegmentationonCityscapes val
PQth· 2023-04-17
54.7
best: 64.6 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images arXiv:2304.08222
Panoptic SegmentationonMapillary val
PQ· 2023-04-17
42.2
best: 46.7 (OneFormer (DiNAT-L, single-scale))
Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images arXiv:2304.08222
Panoptic SegmentationonMapillary val
PQst· 2023-04-17
52
best: 54.9 (OneFormer (DiNAT-L, single-scale))
Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images arXiv:2304.08222
Panoptic SegmentationonMapillary val
PQth· 2023-04-17
34.9
best: 40.8 (Panoptic FCN* (Swin-L, single-scale))
Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images arXiv:2304.08222