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Found 15 papers, 2 papers with code
BEV-LaneDet: An Efficient 3D Lane Detection Based on Virtual Camera via Key-Points
Experimental results demonstrate that our work outperforms the state-of-the-art approaches in terms of F-Score, being 10. 6% higher on the OpenLane dataset and 4. 0% higher on the Apollo 3D synthetic dataset, with a speed of 185 FPS.
BEV-LaneDet: a Simple and Effective 3D Lane Detection Baseline
Experimental results demonstrate that our work outperforms the state-of-the-art approaches in terms of F-Score, being 10. 6% higher on the OpenLane dataset and 5. 9% higher on the Apollo 3D synthetic dataset, with a speed of 185 FPS.
Ranked #2 on
3D Lane Detection
on Apollo Synthetic 3D Lane
SiamPolar: Semi-supervised Realtime Video Object Segmentation with Polar Representation
The repeated cross-correlation and semi-FPN are designed based on this idea.
Effective multi-view registration of point sets based on student's t mixture model
What's more, the t-distribution takes the noise with heavy-tail into consideration, which makes the proposed method be inherently robust to noises and outliers.
Visual Space Optimization for Zero-shot Learning
The other is to optimize the visual feature structure in an intermediate embedding space, and in this method we successfully devise a multilayer perceptron framework based algorithm that is able to learn the common intermediate embedding space and meanwhile to make the visual data structure more distinctive.
Feature Concatenation Multi-view Subspace Clustering
To this end, this paper proposes a novel multi-view subspace clustering approach dubbed Feature Concatenation Multi-view Subspace Clustering (FCMSC), which boosts the clustering performance by exploring the consensus information of multi-view data.
Multi-view Point Cloud Registration with Adaptive Convergence Threshold and its Application on 3D Model Retrieval
In this paper, we propose a framework to reconstruct the 3D models by the multi-view point cloud registration algorithm with adaptive convergence threshold, and subsequently apply it to 3D model retrieval.
Spatio-Temporal Road Scene Reconstruction using Superpixel Markov Random Field
The data fidelity term in the MRF's energy function is jointly computed according to the superpixel features of color, texture and location.
Adaptive Co-weighting Deep Convolutional Features For Object Retrieval
Aggregating deep convolutional features into a global image vector has attracted sustained attention in image retrieval.
K-means clustering for efficient and robust registration of multi-view point sets
Subsequently, the shape comprised by all cluster centroids is used to sequentially estimate the rigid transformation for each point set.
Multi-view Registration Based on Weighted Low Rank and Sparse Matrix Decomposition of Motions
Then, it proposes the weighted LRS decomposition, where each block element is assigned with one estimated weight to denote its reliability.
Simultaneous merging multiple grid maps using the robust motion averaging
The main idea of this approach is to recover all global motions for map merging from a set of relative motions.
An Effective Approach for Point Clouds Registration Based on the Hard and Soft Assignments
For the registration of partially overlapping point clouds, this paper proposes an effective approach based on both the hard and soft assignments.
Effective scaling registration approach by imposing the emphasis on the scale factor
This paper proposes an effective approach for the scaling registration of $m$-D point sets.
Weighted Motion Averaging for the Registration of Multi-View Range Scans
With the overlapping percentage available, it views the overlapping percentage as the corresponding weight of each scan pair and proposes the weight motion averaging algorithm, which can pay more attention to reliable and accurate relative motions.
