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 101–110 of 4891 papers

TitleStatusHype
LEGNet: Lightweight Edge-Gaussian Driven Network for Low-Quality Remote Sensing Image Object DetectionCode2
Advances in 4D Generation: A SurveyCode2
ClearSight: Visual Signal Enhancement for Object Hallucination Mitigation in Multimodal Large language ModelsCode2
RoMA: Scaling up Mamba-based Foundation Models for Remote SensingCode2
Multi-Modal Mamba Modeling for Survival Prediction (M4Survive): Adapting Joint Foundation Model RepresentationsCode2
Emulating Self-attention with Convolution for Efficient Image Super-ResolutionCode2
Real-time Spatial-temporal Traversability Assessment via Feature-based Sparse Gaussian ProcessCode2
Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical SystemsCode2
Fast and Accurate Blind Flexible DockingCode2
MedVAE: Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable AutoencodersCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified