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 326–350 of 4891 papers

TitleStatusHype
KM-UNet KAN Mamba UNet for medical image segmentationCode1
Robust Self-Paced Hashing for Cross-Modal Retrieval with Noisy LabelsCode1
HCMA-UNet: A Hybrid CNN-Mamba UNet with Axial Self-Attention for Efficient Breast Cancer SegmentationCode1
TeLU Activation Function for Fast and Stable Deep LearningCode1
Underwater Image Restoration via Polymorphic Large Kernel CNNsCode1
LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty GuidanceCode1
GaraMoSt: Parallel Multi-Granularity Motion and Structural Modeling for Efficient Multi-Frame Interpolation in DSA ImagesCode1
Rethinking Chain-of-Thought from the Perspective of Self-TrainingCode1
FM2S: Towards Spatially-Correlated Noise Modeling in Zero-Shot Fluorescence Microscopy Image DenoisingCode1
Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLMCode1
ProtoOcc: Accurate, Efficient 3D Occupancy Prediction Using Dual Branch Encoder-Prototype Query DecoderCode1
Enhancing Scene Coordinate Regression with Efficient Keypoint Detection and Sequential InformationCode1
Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior GraphsCode1
FlexDiT: Dynamic Token Density Control for Diffusion TransformerCode1
Neural Representation for Wireless Radiation Field Reconstruction: A 3D Gaussian Splatting ApproachCode1
NeRF and Gaussian Splatting SLAM in the WildCode1
Gracefully Filtering Backdoor Samples for Generative Large Language Models without RetrainingCode1
How Much Can Time-related Features Enhance Time Series Forecasting?Code1
Fréchet Radiomic Distance (FRD): A Versatile Metric for Comparing Medical Imaging DatasetsCode1
VICON: Vision In-Context Operator Networks for Multi-Physics Fluid Dynamics PredictionCode1
LDM-Morph: Latent diffusion model guided deformable image registrationCode1
Recursive Gaussian Process State Space ModelCode1
Local-Global Attention: An Adaptive Mechanism for Multi-Scale Feature IntegrationCode1
Large-scale moral machine experiment on large language modelsCode1
LSSInst: Improving Geometric Modeling in LSS-Based BEV Perception with Instance RepresentationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified