Scene Labeling
4 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Scene Labeling
Stanford Background
Most implemented papers
Minimal Solvers for Single-View Lens-Distorted Camera Auto-Calibration
This paper proposes minimal solvers that use combinations of imaged translational symmetries and parallel scene lines to jointly estimate lens undistortion with either affine rectification or focal length and absolute orientation.
LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling
Another long short-term memorized fusion layer is set up to integrate the contexts along the vertical direction from different channels, and perform bi-directional propagation of the fused vertical contexts along the horizontal direction to obtain true 2D global contexts.
A Bayesian Evaluation Framework for Subjectively Annotated Visual Recognition Tasks
prijatelj/bayesian_eval_ground_truth-free
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An interesting development in automatic visual recognition has been the emergence of tasks where it is not possible to assign objective labels to images, yet still feasible to collect annotations that reflect human judgements about them.
Unsupervised Person Re-Identification with Wireless Positioning under Weak Scene Labeling
To this end, we propose to explore unsupervised person re-identification with both visual data and wireless positioning trajectories under weak scene labeling, in which we only need to know the locations of the cameras.
