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Models/AdaptIS (ResNeXt-101)

AdaptIS (ResNeXt-101)

Reported on 30 benchmarks across 3 tasks · 1 paper · 12 SOTA

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

Medical10 results

Semantic SegmentationonCityscapes val
PQ· 2019-09-17
62
best: 70.8 (ViT-P (OneFormer, InternImage-H))
SOTA
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829
Semantic SegmentationonCityscapes val
PQth· 2019-09-17
58.7
best: 64.6 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
SOTA
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829
Semantic SegmentationonMapillary val
PQ· 2019-09-17
40.3
best: 46.7 (OneFormer (DiNAT-L, single-scale))
SOTA
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829
Semantic SegmentationonMapillary val
mIoU· 2019-09-17
56.8
best: 76 (AO-SegNet)
SOTA
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829
Semantic SegmentationonCityscapes val
AP· 2019-09-17
36.3
best: 50.6 (ViT-P (OneFormer, InternImage-H))
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829
Semantic SegmentationonCityscapes val
PQst· 2019-09-17
64.4
best: 74.1 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829
Semantic SegmentationonCityscapes val
mIoU· 2019-09-17
79.2
best: 90.3 (EfficientPS (Cityscapes-fine))
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829
Semantic SegmentationonCOCO test-dev
PQ· 2019-09-17
42.8
best: 59.5 (Mask DINO (single scale))
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829
Semantic SegmentationonCOCO test-dev
PQst· 2019-09-17
31.8
best: 58.9 (MaskConver (ResNet50, single-scale))
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829
Semantic SegmentationonCOCO test-dev
PQth· 2019-09-17
50.1
best: 65.1 (Mask2Former (Swin-L))
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829

Audio10 results

10-shot image generationonCityscapes val
PQ· 2019-09-17
62
best: 70.8 (ViT-P (OneFormer, InternImage-H))
SOTA
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829
10-shot image generationonCityscapes val
PQth· 2019-09-17
58.7
best: 64.6 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
SOTA
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829
10-shot image generationonMapillary val
PQ· 2019-09-17
40.3
best: 46.7 (OneFormer (DiNAT-L, single-scale))
SOTA
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829
10-shot image generationonMapillary val
mIoU· 2019-09-17
56.8
best: 76 (AO-SegNet)
SOTA
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829
10-shot image generationonCityscapes val
AP· 2019-09-17
36.3
best: 50.6 (ViT-P (OneFormer, InternImage-H))
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829
10-shot image generationonCityscapes val
PQst· 2019-09-17
64.4
best: 74.1 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829
10-shot image generationonCityscapes val
mIoU· 2019-09-17
79.2
best: 90.3 (EfficientPS (Cityscapes-fine))
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829
10-shot image generationonCOCO test-dev
PQ· 2019-09-17
42.8
best: 59.5 (Mask DINO (single scale))
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829
10-shot image generationonCOCO test-dev
PQst· 2019-09-17
31.8
best: 58.9 (MaskConver (ResNet50, single-scale))
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829
10-shot image generationonCOCO test-dev
PQth· 2019-09-17
50.1
best: 65.1 (Mask2Former (Swin-L))
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829

Computer Vision10 results

Panoptic SegmentationonCityscapes val
PQ· 2019-09-17
62
best: 70.8 (ViT-P (OneFormer, InternImage-H))
SOTA
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829
Panoptic SegmentationonCityscapes val
PQth· 2019-09-17
58.7
best: 64.6 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
SOTA
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829
Panoptic SegmentationonMapillary val
PQ· 2019-09-17
40.3
best: 46.7 (OneFormer (DiNAT-L, single-scale))
SOTA
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829
Panoptic SegmentationonMapillary val
mIoU· 2019-09-17
56.8
best: 61.7 (OneFormer (DiNAT-L, single-scale))
SOTA
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829
Panoptic SegmentationonCityscapes val
AP· 2019-09-17
36.3
best: 50.6 (ViT-P (OneFormer, InternImage-H))
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829
Panoptic SegmentationonCityscapes val
PQst· 2019-09-17
64.4
best: 74.1 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829
Panoptic SegmentationonCityscapes val
mIoU· 2019-09-17
79.2
best: 90.3 (EfficientPS (Cityscapes-fine))
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829
Panoptic SegmentationonCOCO test-dev
PQ· 2019-09-17
42.8
best: 59.5 (Mask DINO (single scale))
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829
Panoptic SegmentationonCOCO test-dev
PQst· 2019-09-17
31.8
best: 58.9 (MaskConver (ResNet50, single-scale))
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829
Panoptic SegmentationonCOCO test-dev
PQth· 2019-09-17
50.1
best: 65.1 (Mask2Former (Swin-L))
AdaptIS: Adaptive Instance Selection Network arXiv:1909.07829