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AUTODEPTH: Single Image Depth Map Estimation via Residual CNN Encoder-Decoder and Stacked Hourglass

Research article (2019 IEEE International Conference on Image Processing (ICIP), 2019) · cited 13× · AI/ML
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AUTODEPTH: Single Image Depth Map Estimation via Residual CNN Encoder-Decoder and Stacked Hourglass

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AUTODEPTH: Single Image Depth Map Estimation via Residual CNN Encoder-Decoder and Stacked Hourglass is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). AUTODEPTH: Single Image Depth Map Estimation via Residual CNN Encoder-Decoder and Stacked Hourglass. Retrieved May 24, 2026, from https://4ort.xyz/entity/autodepth-single-image-depth-map-estimation-via-residual-cnn-encoder-decoder-and-stacked-hourglass
MLA “AUTODEPTH: Single Image Depth Map Estimation via Residual CNN Encoder-Decoder and Stacked Hourglass.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/autodepth-single-image-depth-map-estimation-via-residual-cnn-encoder-decoder-and-stacked-hourglass.
BibTeX @misc{4ortxyz_autodepth-single-image-depth-map-estimation-via-residual-cnn-encoder-decoder-and-stacked-hourglass_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AUTODEPTH: Single Image Depth Map Estimation via Residual CNN Encoder-Decoder and Stacked Hourglass}}, year = {2026}, url = {https://4ort.xyz/entity/autodepth-single-image-depth-map-estimation-via-residual-cnn-encoder-decoder-and-stacked-hourglass}, note = {Accessed: 2026-05-24}}
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