HyperAI

Depth Estimation On Nyu Depth V2

المقاييس

RMS

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج
RMS
Paper TitleRepository
Freeform0.433Deep Optics for Monocular Depth Estimation and 3D Object Detection-
P3Depth0.356P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior
PAD-Net0.792PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing-
EVP0.224EVP: Enhanced Visual Perception using Inverse Multi-Attentive Feature Refinement and Regularized Image-Text Alignment
Optimized, freeform0.4325Deep Optics for Monocular Depth Estimation and 3D Object Detection-
Defocus/DepthNet (Normalized)-Focus on defocus: bridging the synthetic to real domain gap for depth estimation-
TransDepth (AGD+ ViT)0.365Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction
DINOv2 (ViT-g/14 frozen, w/ DPT decoder)0.279DINOv2: Learning Robust Visual Features without Supervision
AdaBins0.364AdaBins: Depth Estimation using Adaptive Bins
VNL0.416Enforcing geometric constraints of virtual normal for depth prediction
SwinV2-B 1K-MIM0.304Revealing the Dark Secrets of Masked Image Modeling
Semantic-aware NN0.303D Ken Burns Effect from a Single Image
DORN0.509Deep Ordinal Regression Network for Monocular Depth Estimation
SwinV2-L 1K-MIM0.287Revealing the Dark Secrets of Masked Image Modeling
A2J-A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image
MS-CRF0.586Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation
BTS0.407From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
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