HyperAI
الرئيسية
الأخبار
أحدث الأوراق البحثية
الدروس
مجموعات البيانات
الموسوعة
SOTA
نماذج LLM
لوحة الأداء GPU
الفعاليات
البحث
حول
العربية
HyperAI
Toggle sidebar
البحث في الموقع...
⌘
K
الرئيسية
SOTA
Depth Estimation
Depth Estimation On Stanford2D3D Panoramic
Depth Estimation On Stanford2D3D Panoramic
المقاييس
RMSE
absolute relative error
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
RMSE
absolute relative error
Paper Title
Repository
PanoDepth
0.3747
0.0972
PanoDepth: A Two-Stage Approach for Monocular Omnidirectional Depth Estimation
-
GLPanoDepth
0.3493
-
GLPanoDepth: Global-to-Local Panoramic Depth Estimation
HiMODE
0.2619
0.0532
HiMODE: A Hybrid Monocular Omnidirectional Depth Estimation Model
-
HoHoNet (ResNet-101)
0.3834
0.1014
HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features
FreDSNet
0.2727
0.0952
FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier Convolutions
UniFuse with fusion
0.3691
0.1114
UniFuse: Unidirectional Fusion for 360$^{circ}$ Panorama Depth Estimation
Jin et al.
0.421
-
Geometric Structure Based and Regularized Depth Estimation From 360 Indoor Imagery
-
OmniDepth
0.6152
0.1996
OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas
BiFuse with fusion
0.4142
0.1209
BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion
Neural Contourlet Network
0.3528
0.0558
Neural Contourlet Network for Monocular 360 Depth Estimation
SliceNet
0.3684
0.0744
SliceNet: Deep Dense Depth Estimation From a Single Indoor Panorama Using a Slice-Based Representation
-
PanoFormer
0.3083
0.0405
PanoFormer: Panorama Transformer for Indoor 360 Depth Estimation
DisConv
0.369
0.176
Distortion-Aware Convolutional Filters for Dense Prediction in Panoramic Images
-
NLFB
0.2776
0.0649
Improving 360 Monocular Depth Estimation via Non-local Dense Prediction Transformer and Joint Supervised and Self-supervised Learning
OmniFusion (2-iter)
0.3474
0.095
OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion
ACDNet
0.341
0.0984
ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation
BiFuse++
0.372
0.1117
BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimation
SphereDepth
0.4512
0.1158
SphereDepth: Panorama Depth Estimation from Spherical Domain
-
0 of 18 row(s) selected.
Previous
Next