Papers › Delivering Arbitrary-Modal Semantic Segmentation

Delivering Arbitrary-Modal Semantic Segmentation

2 Mar 2023CVPR 2023 1arXiv:2303.01480archive 2025-07-28

Jiaming Zhang, Ruiping Liu, Hao Shi, Kailun Yang, Simon Reiß, Kunyu Peng, Haodong Fu, Kaiwei Wang, Rainer Stiefelhagen

Multimodal fusion can make semantic segmentation more robust. However, fusing an arbitrary number of modalities remains underexplored. To delve into this problem, we create the DeLiVER arbitrary-modal segmentation benchmark, covering Depth, LiDAR, multiple Views, Events, and RGB. Aside from this, we provide this dataset in four severe weather conditions as well as five sensor failure cases to exploit modal complementarity and resolve partial outages. To make this possible, we present the arbitrary cross-modal segmentation model CMNeXt. It encompasses a Self-Query Hub (SQ-Hub) designed to extract effective information from any modality for subsequent fusion with the RGB representation and adds only negligible amounts of parameters (~0.01M) per additional modality. On top, to efficiently and flexibly harvest discriminative cues from the auxiliary modalities, we introduce the simple Parallel Pooling Mixer (PPX). With extensive experiments on a total of six benchmarks, our CMNeXt achieves state-of-the-art performance on the DeLiVER, KITTI-360, MFNet, NYU Depth V2, UrbanLF, and MCubeS datasets, allowing to scale from 1 to 81 modalities. On the freshly collected DeLiVER, the quad-modal CMNeXt reaches up to 66.30% in mIoU with a +9.10% gain as compared to the mono-modal baseline. The DeLiVER dataset and our code are at: https://jamycheung.github.io/DELIVER.html.

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get_optimizer jamycheung/DELIVER/semseg/optimizers.py official repository ran Apache-2.0 (permissive) · 624e13fbf125c2a5 · report
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Tasks

SegmentationSemantic SegmentationThermal Image Segmentation

Datasets

Introduced by this paper, per the archive.

DELIVER

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Semantic Segmentation BJRoad CMNeXt IoU 63.22 #1 of 11 Archive leaderboard report
Semantic Segmentation DDD17 CMNeXt mIoU 72.67 #2 of 9 Archive leaderboard report
Semantic Segmentation DELIVER CMNeXt (RGB-D-E-LiDAR) mIoU 66.30 #3 of 9 Archive leaderboard report
Semantic Segmentation DELIVER CMNeXt (RGB-D-LiDAR) mIoU 65.50 #4 of 9 Archive leaderboard report
Semantic Segmentation DELIVER CMNeXt (RGB-D-Event) mIoU 64.44 #5 of 9 Archive leaderboard report
Semantic Segmentation DELIVER CMNeXt (RGB-Depth) mIoU 63.58 #6 of 9 Archive leaderboard report
Semantic Segmentation DELIVER CMNeXt (RGB-LiDAR) mIoU 58.04 #7 of 9 Archive leaderboard report
Semantic Segmentation DELIVER CMNeXt (RGB-Event) mIoU 57.48 #8 of 9 Archive leaderboard report
Semantic Segmentation DSEC CMNeXt mIoU 72.54 #2 of 9 Archive leaderboard report
Semantic Segmentation DeLiVER CMNeXt (RGB-D-E-LiDAR) mIoU 66.30 #5 of 26 Archive leaderboard report
Semantic Segmentation KITTI-360 CMNeXt (RGB-D-E-LiDAR) mIoU 67.84 #2 of 17 Archive leaderboard report
Semantic Segmentation MCubeS CMNeXt (B2 RGB-A-D-N) mIoU 51.54% #10 of 22 Archive leaderboard report
Semantic Segmentation MCubeS CMNeXt (B2 RGB-A-D) mIoU 49.48% #17 of 22 Archive leaderboard report
Semantic Segmentation MCubeS CMNeXt (B2 RGB-A) mIoU 48.42% #18 of 22 Archive leaderboard report
Semantic Segmentation MCubeS (P) CMNeXt (B2 RGB-A-D) mIoU 49.48 #7 of 8 Archive leaderboard report
Semantic Segmentation MCubeS (P) CMNeXt (B2 RGB-A) mIoU 48.42 #8 of 8 Archive leaderboard report
Semantic Segmentation NYU Depth v2 CMNeXt (B4) Mean IoU 56.9% #18 of 121 Archive leaderboard report
Semantic Segmentation Porto CMNeXt IoU 73.12 #1 of 6 Archive leaderboard report
Semantic Segmentation TLCGIS CMNeXt IoU 82.26 #4 of 6 Archive leaderboard report
Semantic Segmentation UrbanLF CMNeXt (RGB-LF80) mIoU (Real) 83.11 #1 of 14 Archive leaderboard report
Semantic Segmentation UrbanLF CMNeXt (RGB-LF80) mIoU (Syn) 81.02 #1 of 14 Archive leaderboard report
Semantic Segmentation UrbanLF CMNeXt (RGB-LF33) mIoU (Real) 82.62 #2 of 14 Archive leaderboard report
Semantic Segmentation UrbanLF CMNeXt (RGB-LF33) mIoU (Syn) 80.98 #2 of 14 Archive leaderboard report
Semantic Segmentation UrbanLF CMNeXt (RGB-LF8) mIoU (Real) 83.22 #3 of 14 Archive leaderboard report
Semantic Segmentation UrbanLF CMNeXt (RGB-LF8) mIoU (Syn) 80.74 #3 of 14 Archive leaderboard report
Thermal Image Segmentation MFN Dataset CMNeXt (B4) mIOU 59.9 #6 of 55 Archive leaderboard report
Thermal Image Segmentation Noisy RS RGB-T Dataset CMNeXt (B4) mIoU 60.3 #1 of 6 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

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