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PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation with Neural Positional Encoding and Distilled Matting Loss
Research article (2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021) · cited 22× · AI/ML
PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation with Neural Positional Encoding and Distilled Matting Loss
Summary
PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation with Neural Positional Encoding and Distilled Matting Loss is a scholarly article[1].
Key Facts
PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation with Neural Positional Encoding and Distilled Matting Loss's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation with Neural Positional Encoding and Distilled Matting Loss. Retrieved May 24, 2026, from https://4ort.xyz/entity/plade-net-towards-pixel-level-accuracy-for-self-supervised-single-view-depth-estimation-with-neural-positional-encoding-
MLA“PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation with Neural Positional Encoding and Distilled Matting Loss.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/plade-net-towards-pixel-level-accuracy-for-self-supervised-single-view-depth-estimation-with-neural-positional-encoding-.
BibTeX@misc{4ortxyz_plade-net-towards-pixel-level-accuracy-for-self-supervised-single-view-depth-estimation-with-neural-positional-encoding-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation with Neural Positional Encoding and Distilled Matting Loss}}, year = {2026}, url = {https://4ort.xyz/entity/plade-net-towards-pixel-level-accuracy-for-self-supervised-single-view-depth-estimation-with-neural-positional-encoding-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation with Neural Positional Encoding and Distilled Matting Loss — https://4ort.xyz/entity/plade-net-towards-pixel-level-accuracy-for-self-supervised-single-view-depth-estimation-with-neural-positional-encoding- (retrieved 2026-05-24)
