Distance regression
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Benchmarks
CHILI-100K
CHILI-3K
Most implemented
PolarMask: Single Shot Instance Segmentation with Polar Representation
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
DistFormer: Enhancing Local and Global Features for Monocular Per-Object Distance Estimation
EOLO: Embedded Object Segmentation only Look Once
Papers
SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction
Vision-based 3D semantic occupancy prediction is essential for autonomous driving, yet dense voxel representations waste computation on largely empty space, while BEV and TPV projections compromise fine-grained 3D struct…
Semantic SegmentationDistance regressionAutonomous DrivingRedefining Quality Criteria and Distance-Aware Score Modeling for Image Editing Assessment
Recent advances in image editing have heightened the need for reliable Image Editing Quality Assessment (IEQA). Unlike traditional methods, IEQA requires complex reasoning over multimodal inputs and multi-dimensional ass…
Distance regressionImage EditingTemporal Zoom Networks: Distance Regression and Continuous Depth for Efficient Action Localization
Temporal action localization requires both precise boundary detection and computational efficiency. Current methods apply uniform computation across all temporal positions, wasting resources on easy boundaries while stru…
Temporal Action LocalizationComputational EfficiencyKnowledge DistillationDistance regressionOvercoming error-in-variable problem in data-driven model discovery by orthogonal distance regression
Despite the recent proliferation of machine learning methods like SINDy that promise automatic discovery of governing equations from time-series data, there remain significant challenges to discovering models from noisy …
Distance regressionCHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
Advances in graph machine learning (ML) have been driven by applications in chemistry as graphs have remained the most expressive representations of molecules. While early graph ML methods focused primarily on small orga…
Atomic number classificationBenchmarkingCrystal system classificationDistance regression+9Approaches to biological species delimitation based on genetic and spatial dissimilarity
The delimitation of biological species, i.e., deciding which individuals belong to the same species and whether and how many different species are represented in a data set, is key to the conservation of biodiversity. Mu…
Distance regressionregression