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Semantic Segmentation
벤치마크
Semantic Segmentation on Stanford2D3D - RGBD
12개 결과 ·
⬇ CSV
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mIoU
39.5
45.15
50.8
56.45
62.1
2018-03
2026-09
Depth-aware CNN — 39.5 (2018-03-19)
Depth-aware CNN — 39.5 (2018-03-19)
MMAF-Net-152 — 52.9 (2019-12-25)
MMAF-Net-152 — 52.9 (2019-12-25)
ShapeConv-101 — 60.6 (2021-08-24)
ShapeConv-101 — 60.6 (2021-08-24)
CMX (SegFormer-B4) — 62.1 (2022-03-09)
CMX (SegFormer-B2) — 61.2 (2022-03-09)
CMX (SegFormer-B4) — 62.1 (2022-03-09)
CMX (SegFormer-B2) — 61.2 (2022-03-09)
Linear Fusion (Segformer B2) — 57.16 (2023-04-21)
Linear Fusion (Segformer B2) — 57.16 (2023-04-21)
Depth-aware CNN — 39.5 (2018-03-19)
MMAF-Net-152 — 52.9 (2019-12-25)
ShapeConv-101 — 60.6 (2021-08-24)
CMX (SegFormer-B4) — 62.1 (2022-03-09)
2018-03-19 — Depth-aware CNN: mIoU 39.5
2019-12-25 — MMAF-Net-152: mIoU 52.9
2021-08-24 — ShapeConv-101: mIoU 60.6
2022-03-09 — CMX (SegFormer-B4): mIoU 62.1
Rank
Model
mIoU
Pixel Accuracy
mAcc
Paper
Code
Year
1
CMX (SegFormer-B4)
62.1
82.6
–
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
huaaaliu/rgbx_semantic_segmentation
2022
2
CMX (SegFormer-B2)
61.2
82.3
–
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
huaaaliu/rgbx_semantic_segmentation
2022
3
ShapeConv-101
60.6
82.7
70.0
ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation
hanchaoleng/shapeconv
2021
4
Linear Fusion (Segformer B2)
57.16
–
–
Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation
harshm121/m3l
2023
5
MMAF-Net-152
52.9
76.5
62.3
Multi-Modal Attention-based Fusion Model for Semantic Segmentation of RGB-Depth Images
2019
6
Depth-aware CNN
39.5
65.4
55.5
Depth-aware CNN for RGB-D Segmentation
laughtervv/DepthAwareCNN
·
iriszero/DepthAwareCNNplus
·
aksh1501/DepthAware_CNN_edit
·
+1
2018
7
CMX (SegFormer-B4)
62.1
82.6
–
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
huaaaliu/rgbx_semantic_segmentation
2022
8
CMX (SegFormer-B2)
61.2
82.3
–
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
huaaaliu/rgbx_semantic_segmentation
2022
9
ShapeConv-101
60.6
82.7
70.0
ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation
hanchaoleng/shapeconv
2021
10
Linear Fusion (Segformer B2)
57.16
–
–
Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation
harshm121/m3l
2023
11
MMAF-Net-152
52.9
76.5
62.3
Multi-Modal Attention-based Fusion Model for Semantic Segmentation of RGB-Depth Images
2019
12
Depth-aware CNN
39.5
65.4
55.5
Depth-aware CNN for RGB-D Segmentation
laughtervv/DepthAwareCNN
·
iriszero/DepthAwareCNNplus
·
aksh1501/DepthAware_CNN_edit
·
+1
2018
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