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 411–420 of 4891 papers

TitleStatusHype
DMM: Disparity-guided Multispectral Mamba for Oriented Object Detection in Remote SensingCode1
A Simple and Efficient Reconstruction Backbone for Snapshot Compressive ImagingCode1
GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image ClassificationCode1
Adapting LLaMA Decoder to Vision TransformerCode1
Dropout Q-Functions for Doubly Efficient Reinforcement LearningCode1
Guidelines and Evaluation of Clinical Explainable AI in Medical Image AnalysisCode1
HAAQI-Net: A Non-intrusive Neural Music Audio Quality Assessment Model for Hearing AidsCode1
HabiCrowd: A High Performance Simulator for Crowd-Aware Visual NavigationCode1
HCMA-UNet: A Hybrid CNN-Mamba UNet with Axial Self-Attention for Efficient Breast Cancer SegmentationCode1
Dynamic Clustering and Cluster Contrastive Learning for Unsupervised Person Re-identificationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified