Semantic Segmentation On Sun Rgbd

평가 지표

Mean IoU (test)

평가 결과

이 벤치마크에서 각 모델의 성능 결과

비교 표

모델 이름	Mean IoU (test)
missing-modality-robustness-in-semi	48.17
efficient-rgb-d-semantic-segmentation-for	-
context-contrasted-feature-and-gated-multi	-
cmx-cross-modal-fusion-for-rgb-x-semantic	-
deep-feature-selection-and-fusion-for-rgb-d	-
spatial-information-guided-convolution-for	-
depth-aware-cnn-for-rgb-d-segmentation	-
shapeconv-shape-aware-convolutional-layer-for	-
rdfnet-rgb-d-multi-level-residual-feature	-
panopticndt-efficient-and-robust-panoptic	-
geminifusion-efficient-pixel-wise-multimodal	-
attention-guided-chained-context-aggregation	-
multimodal-token-fusion-for-vision	-
bi-directional-cross-modality-feature	-
dformer-rethinking-rgbd-representation	-
self-supervised-model-adaptation-for	-
efficient-multimodal-semantic-segmentation	-
multimodal-token-fusion-for-vision	-
pixel-difference-convolutional-network-for	-
recurrent-scene-parsing-with-perspective	-
self-supervised-model-adaptation-for	-
dformer-rethinking-rgbd-representation	-
3d-graph-neural-networks-for-rgbd-semantic	-
cmx-cross-modal-fusion-for-rgb-x-semantic	-
cmx-cross-modal-fusion-for-rgb-x-semantic	-
efficient-multi-task-rgb-d-scene-analysis-for	-
efficient-multi-task-scene-analysis-with-rgb	-
rednet-residual-encoder-decoder-network-for	-
geminifusion-efficient-pixel-wise-multimodal	-
asymformer-asymmetrical-cross-modal	-
dformer-rethinking-rgbd-representation	-
dformer-rethinking-rgbd-representation	-
pattern-structure-diffusion-for-multi-task	-
dcanet-differential-convolution-attention	-
acnet-attention-based-network-to-exploit	-
attention-based-dual-supervised-decoder-for	-
geminifusion-efficient-pixel-wise-multimodal	-
multi-modal-attention-based-fusion-model-for	-
ci-net-contextual-information-for-joint	-