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 781–790 of 4891 papers

TitleStatusHype
RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR SegmentationCode1
Spatial and Spatial-Spectral Morphological Mamba for Hyperspectral Image ClassificationCode1
Learning Hierarchical Image Segmentation For Recognition and By RecognitionCode1
Boosting Light-Weight Depth Estimation Via Knowledge DistillationCode1
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP TasksCode1
Real-World Single Image Super-Resolution: A Brief ReviewCode1
Adaptive wavelet distillation from neural networks through interpretationsCode1
Recursive Gaussian Process State Space ModelCode1
Contrast-Phys+: Unsupervised and Weakly-supervised Video-based Remote Physiological Measurement via Spatiotemporal ContrastCode1
DMM: Disparity-guided Multispectral Mamba for Oriented Object Detection in Remote SensingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified