Home ›
Entities
› academia
› CLMIP: cross-layer manifold invariance based pruning method of deep convolutional neural network for real-time road type recognition
CLMIP: cross-layer manifold invariance based pruning method of deep convolutional neural network for real-time road type recognition
Research article (Multidimensional Systems and Signal Processing, 2020) · cited 23× · AI/ML
CLMIP: cross-layer manifold invariance based pruning method of deep convolutional neural network for real-time road type recognition
Summary
CLMIP: cross-layer manifold invariance based pruning method of deep convolutional neural network for real-time road type recognition is a scholarly article[1].
Key Facts
CLMIP: cross-layer manifold invariance based pruning method of deep convolutional neural network for real-time road type recognition's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). CLMIP: cross-layer manifold invariance based pruning method of deep convolutional neural network for real-time road type recognition. Retrieved May 24, 2026, from https://4ort.xyz/entity/clmip-cross-layer-manifold-invariance-based-pruning-method-of-deep-convolutional-neural-network-for-real-time-road-type-
MLA“CLMIP: cross-layer manifold invariance based pruning method of deep convolutional neural network for real-time road type recognition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/clmip-cross-layer-manifold-invariance-based-pruning-method-of-deep-convolutional-neural-network-for-real-time-road-type-.
BibTeX@misc{4ortxyz_clmip-cross-layer-manifold-invariance-based-pruning-method-of-deep-convolutional-neural-network-for-real-time-road-type-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CLMIP: cross-layer manifold invariance based pruning method of deep convolutional neural network for real-time road type recognition}}, year = {2026}, url = {https://4ort.xyz/entity/clmip-cross-layer-manifold-invariance-based-pruning-method-of-deep-convolutional-neural-network-for-real-time-road-type-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CLMIP: cross-layer manifold invariance based pruning method of deep convolutional neural network for real-time road type recognition — https://4ort.xyz/entity/clmip-cross-layer-manifold-invariance-based-pruning-method-of-deep-convolutional-neural-network-for-real-time-road-type- (retrieved 2026-05-24)