AI Paper Atlas

Research map / Detection and segmentation / CNN features

Spatial as Deep: Spatial CNN for Traffic Scene Understanding

AAAI 2018 · Detection and segmentation › CNN features · approach: Local features and context in CNNs · 1,120 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
add SCNN (slice-by-slice message passing) to baselineLargeFOV · CULaneF1 (IoU 0.5): 63.2 -> 71.6Helped
add an extra conv layer (parameter-matched control) (ablation)LargeFOV · CULaneF1 (IoU 0.5): 63.2 -> 64.0No clear effect
add more propagation directions (D -> DURL) (ablation)SCNN · CULaneF1 (IoU 0.5): 68.6 -> 70.4Helped
increase kernel width from 1 to 9 (ablation)SCNN · CULaneF1 (IoU 0.5): 66.3 -> 71.6Helped
apply SCNN at top hidden layer instead of output (ablation)SCNN · CULaneF1 (IoU 0.5): 68.8 -> 71.6Helped
use sequential instead of parallel message passing (ablation)SCNN · CULaneF1 (IoU 0.5): 65.2 -> 71.6Helped
add DenseCRF post-processingLargeFOV · CULaneF1 (IoU 0.5): 63.2 -> 61.0Hurt
add ReNet LSTM layersLargeFOV · CULaneF1 (IoU 0.5): 63.2 -> 62.9No clear effect
add SCNNResNet-101 · Cityscapes valmIoU: 75.6 -> 76.4Helped
replace dense CRF with SCNNmessage passing · CPU runtimeruntime (ms): 737 -> 176Helped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy