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

Showing 641650 of 4891 papers

TitleStatusHype
H3DE-Net: Efficient and Accurate 3D Landmark Detection in Medical ImagingCode1
MatIR: A Hybrid Mamba-Transformer Image Restoration ModelCode1
HabiCrowd: A High Performance Simulator for Crowd-Aware Visual NavigationCode1
A Simple Local Minimal Intensity Prior and An Improved Algorithm for Blind Image DeblurringCode1
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud RegistrationCode1
Deep Implicit Moving Least-Squares Functions for 3D ReconstructionCode1
GS-I^3: Gaussian Splatting for Surface Reconstruction from Illumination-Inconsistent ImagesCode1
Guidelines and Evaluation of Clinical Explainable AI in Medical Image AnalysisCode1
M3-Jepa: Multimodal Alignment via Multi-directional MoE based on the JEPA frameworkCode1
HADAS: Hardware-Aware Dynamic Neural Architecture Search for Edge Performance ScalingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified