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Models/CMX

CMX

Reported on 74 benchmarks across 12 tasks · 1 paper · 42 SOTA

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

Methodology26 results

3DonSTCrowd
AP· 2022-03-09
61
best: 74.9 (MMPedestron)
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
3DonPCOD_1200
S-Measure· 2022-03-09
0.922
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
2D ClassificationonSTCrowd
AP· 2022-03-09
61
best: 74.9 (MMPedestron)
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
2D ClassificationonPCOD_1200
S-Measure· 2022-03-09
0.922
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
2D Object DetectiononSTCrowd
AP· 2022-03-09
61
best: 74.9 (MMPedestron)
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
2D Object DetectiononPCOD_1200
S-Measure· 2022-03-09
0.922
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
2D Object DetectiononKP day-night
mIoU· 2022-03-09
46.2
best: 57.6 (HAPNet)
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
2D Object DetectiononRGB-T-Glass-Segmentation
MAE· 2022-03-09
0.029
best: 0.024 (RGB-T-Glass-Segmentation)
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
16konSTCrowd
AP· 2022-03-09
61
best: 74.9 (MMPedestron)
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
16konPCOD_1200
S-Measure· 2022-03-09
0.922
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
3DonDSEC
mAP· 2022-03-09
29.1
best: 38 (CAFR)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
3DonInOutDoor
AP· 2022-03-09
62.3
best: 65.7 (MMPedestron)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
3DonEventPed
AP· 2022-03-09
58
best: 79 (MMPedestron)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
3DonPKU-DDD17-Car
mAP50· 2022-03-09
80.4
best: 86.7 (CAFR)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
2D ClassificationonDSEC
mAP· 2022-03-09
29.1
best: 38 (CAFR)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
2D ClassificationonInOutDoor
AP· 2022-03-09
62.3
best: 65.7 (MMPedestron)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
2D ClassificationonEventPed
AP· 2022-03-09
58
best: 79 (MMPedestron)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
2D ClassificationonPKU-DDD17-Car
mAP50· 2022-03-09
80.4
best: 86.7 (CAFR)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
2D Object DetectiononDSEC
mAP· 2022-03-09
29.1
best: 38 (CAFR)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
2D Object DetectiononInOutDoor
AP· 2022-03-09
62.3
best: 65.7 (MMPedestron)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
2D Object DetectiononEventPed
AP· 2022-03-09
58
best: 79 (MMPedestron)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
2D Object DetectiononPKU-DDD17-Car
mAP50· 2022-03-09
80.4
best: 86.7 (CAFR)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
16konDSEC
mAP· 2022-03-09
29.1
best: 38 (CAFR)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
16konInOutDoor
AP· 2022-03-09
62.3
best: 65.7 (MMPedestron)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
16konEventPed
AP· 2022-03-09
58
best: 79 (MMPedestron)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
16konPKU-DDD17-Car
mAP50· 2022-03-09
80.4
best: 86.7 (CAFR)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838

Medical16 results

Semantic Segmentationon US3D
mIoU· 2022-03-09
84.63
best: 85.09 (LMFNet-3)
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
Semantic SegmentationonPorto
IoU· 2022-03-09
72.85
best: 73.12 (CMNeXt)
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
Semantic SegmentationonReplica
mIoU· 2022-03-09
17
best: 42.1 (LabelMaker)
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
Semantic SegmentationonDSEC
mIoU· 2022-03-09
72.42
best: 74.94 (BRENet)
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
Semantic SegmentationonSYN-UDTIRI
IoU· 2022-03-09
93.31
best: 94.11 (RoadFormer+ (B))
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
Semantic SegmentationonSELMA
mIoU· 2022-03-09
91.7
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
Semantic SegmentationonDDD17
mIoU· 2022-03-09
71.88
best: 78.56 (BRENet)
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
Semantic SegmentationonEvent-based Segmentation Dataset
mIoU· 2022-03-09
85.81
best: 87.05 (Bimodal SegNet)
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
Semantic Segmentationon Potsdam
mIoU· 2022-03-09
85.97
best: 86.39 (LMFNet-3)
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
Semantic SegmentationonGAMUS
mIoU· 2022-03-09
75.23
best: 76.38 (TIMF)
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
Semantic SegmentationonVaihingen
mIoU· 2022-03-09
82.87
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
Semantic SegmentationonKP day-night
mIoU· 2022-03-09
46.2
best: 57.6 (HAPNet)
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
Semantic SegmentationonRGB-T-Glass-Segmentation
MAE· 2022-03-09
0.029
best: 0.024 (RGB-T-Glass-Segmentation)
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
Semantic Segmentationon Synthetic Bathing Perception
mIoU· 2022-03-09
88.23
best: 94.2 (CMX-SRA)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
Semantic SegmentationonTLCGIS
IoU· 2022-03-09
84.14
best: 84.2 (SA-Gate)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
Semantic SegmentationonBJRoad
IoU· 2022-03-09
62.28
best: 63.22 (CMNeXt)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838

Audio16 results

10-shot image generationon US3D
mIoU· 2022-03-09
84.63
best: 85.09 (LMFNet-3)
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
10-shot image generationonPorto
IoU· 2022-03-09
72.85
best: 73.12 (CMNeXt)
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
10-shot image generationonReplica
mIoU· 2022-03-09
17
best: 42.1 (LabelMaker)
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
10-shot image generationonDSEC
mIoU· 2022-03-09
72.42
best: 74.94 (BRENet)
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
10-shot image generationonSYN-UDTIRI
IoU· 2022-03-09
93.31
best: 94.11 (RoadFormer+ (B))
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
10-shot image generationonSELMA
mIoU· 2022-03-09
91.7
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
10-shot image generationonDDD17
mIoU· 2022-03-09
71.88
best: 78.56 (BRENet)
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
10-shot image generationonEvent-based Segmentation Dataset
mIoU· 2022-03-09
85.81
best: 87.05 (Bimodal SegNet)
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
10-shot image generationon Potsdam
mIoU· 2022-03-09
85.97
best: 86.39 (LMFNet-3)
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
10-shot image generationonGAMUS
mIoU· 2022-03-09
75.23
best: 76.38 (TIMF)
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
10-shot image generationonVaihingen
mIoU· 2022-03-09
82.87
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
10-shot image generationonKP day-night
mIoU· 2022-03-09
46.2
best: 57.6 (HAPNet)
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
10-shot image generationonRGB-T-Glass-Segmentation
MAE· 2022-03-09
0.029
best: 0.024 (RGB-T-Glass-Segmentation)
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
10-shot image generationon Synthetic Bathing Perception
mIoU· 2022-03-09
88.23
best: 94.2 (CMX-SRA)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
10-shot image generationonTLCGIS
IoU· 2022-03-09
84.14
best: 84.2 (SA-Gate)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
10-shot image generationonBJRoad
IoU· 2022-03-09
62.28
best: 63.22 (CMNeXt)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838

Computer Vision13 results

Object DetectiononSTCrowd
AP· 2022-03-09
61
best: 74.9 (MMPedestron)
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
Object DetectiononPCOD_1200
S-Measure· 2022-03-09
0.922
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
Camouflaged Object SegmentationonPCOD_1200
S-Measure· 2022-03-09
0.922
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
Object SegmentationonPCOD_1200
S-Measure· 2022-03-09
0.922
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
Scene SegmentationonKP day-night
mIoU· 2022-03-09
46.2
best: 57.6 (HAPNet)
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
Scene SegmentationonRGB-T-Glass-Segmentation
MAE· 2022-03-09
0.029
best: 0.024 (RGB-T-Glass-Segmentation)
SOTA
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
Object DetectiononDSEC
mAP· 2022-03-09
29.1
best: 38 (CAFR)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
Object DetectiononInOutDoor
AP· 2022-03-09
62.3
best: 65.7 (MMPedestron)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
Object DetectiononEventPed
AP· 2022-03-09
58
best: 79 (MMPedestron)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
Object DetectiononPKU-DDD17-Car
mAP50· 2022-03-09
80.4
best: 86.7 (CAFR)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
Pedestrian DetectiononDVTOD
mAP· 2022-03-09
81.6
best: 84.4 (YOLOv6 (Thermal))
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
Pedestrian DetectiononLLVIP
AP· 2022-03-09
0.596
best: 0.726 (MMPedestron)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
Pedestrian DetectiononCVC14
AP50· 2022-03-09
68.9
best: 78.2 (CFT)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838

Robots3 results

Autonomous VehiclesonDVTOD
mAP· 2022-03-09
81.6
best: 84.4 (YOLOv6 (Thermal))
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
Autonomous VehiclesonLLVIP
AP· 2022-03-09
0.596
best: 0.726 (MMPedestron)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838
Autonomous VehiclesonCVC14
AP50· 2022-03-09
68.9
best: 78.2 (CFT)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers arXiv:2203.04838