SOTAVerified

Computational Efficiency

Methods and optimizations to reduce the computational resources (e.g., time, memory, or power) needed for training and inference in models. This involves techniques that streamline processing, optimize algorithms, or leverage hardware to enhance performance without compromising accuracy.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3281–3290 of 4891 papers

TitleStatusHype
2.5D Super-Resolution Approaches for X-ray Computed Tomography-based Inspection of Additively Manufactured Parts—0
360-Degree Video Super Resolution and Quality Enhancement Challenge: Methods and Results—0
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction—0
3D Gaussian Adaptive Reconstruction for Fourier Light-Field Microscopy—0
3D Gaussian Inverse Rendering with Approximated Global Illumination—0
3D Shape Reconstruction From Images in the Frequency Domain—0
3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification—0
4D Cardiac Ultrasound Standard Plane Location by Spatial-Temporal Correlation—0
8-bit Numerical Formats for Deep Neural Networks—0
A 3D grain-based reconstruction method from a 2D surface image for the Distinct Lattice Spring Model—0
Show:102550
← PrevPage 329 of 490Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified