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 331340 of 4891 papers

TitleStatusHype
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
Show:102550
← PrevPage 34 of 490Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified