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

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Showing 1831–1840 of 4891 papers

TitleStatusHype
Fast-COS: A Fast One-Stage Object Detector Based on Reparameterized Attention Vision Transformer for Autonomous Driving—0
Fast and Accurate Surface Normal Integration on Non-Rectangular Domains—0
Fast Data Driven Estimation of Cluster Number in Multiplex Images using Embedded Density Outliers—0
Fast DCTTS: Efficient Deep Convolutional Text-to-Speech—0
Color Correction Meets Cross-Spectral Refinement: A Distribution-Aware Diffusion for Underwater Image Restoration—0
A Novel Channel Boosted Residual CNN-Transformer with Regional-Boundary Learning for Breast Cancer Detection—0
Fast and Accurate Semantic Mapping through Geometric-based Incremental Segmentation—0
Fast and Accurate Power Load Data Completion via Regularization-optimized Low-Rank Factorization—0
Faster Machine Unlearning via Natural Gradient Descent—0
Fast and Accurate Poisson Denoising with Optimized Nonlinear Diffusion—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified