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Found 10 papers, 1 papers with code
PNE-SGAN: Probabilistic NDT-Enhanced Semantic Graph Attention Network for LiDAR Loop Closure Detection
LiDAR loop closure detection (LCD) is crucial for consistent Simultaneous Localization and Mapping (SLAM) but faces challenges in robustness and accuracy.
LagKV: Lag-Relative Information of the KV Cache Tells Which Tokens Are Important
To reduce the KV cache size in such scenarios, most previous efforts leveraged on the attention weight to evict non-critical cache tokens.
SP-SLAM: Neural Real-Time Dense SLAM With Scene Priors
In this paper, we introduce SP-SLAM, a novel neural RGB-D SLAM system that performs tracking and mapping in real-time.
Simultaneous Localization and Mapping
Surface Reconstruction
iFADIT: Invertible Face Anonymization via Disentangled Identity Transform
However, many still face limitations in visual quality and often overlook the potential to recover the original face from the anonymized version, which can be valuable in specific contexts such as image forensics.
Lifelike Agility and Play in Quadrupedal Robots using Reinforcement Learning and Generative Pre-trained Models
Knowledge from animals and humans inspires robotic innovations.
Curvilinear object segmentation in medical images based on ODoS filter and deep learning network
Automatic segmentation of curvilinear objects in medical images plays an important role in the diagnosis and evaluation of human diseases, yet it is a challenging uncertainty in the complex segmentation tasks due to different issues such as various image appearances, low contrast between curvilinear objects and their surrounding backgrounds, thin and uneven curvilinear structures, and improper background illumination conditions.
Coverage Control Algorithm for DSNs Based on Improved Gravitational Search
—In directional sensor networks (DSNs), coverage control is an important way to ensure efficient communication and reliable data transmission.
Pulmonary Fissure Segmentation in CT Images Based on ODoS Filter and Shape Features
Here, we adopt an ODoS filter by merging the orientation information and magnitude information to highlight structure features for fissure enhancement, which can effectively distinguish between pulmonary fissures and clutters.
Novel coronavirus pneumonia lesion segmentation in CT images
Results: The performance of the proposed method was validated in experiments with a publicly available dataset.
Parallel Coordinate Descent Newton Method for Efficient $\ell_1$-Regularized Minimization
We show that: (1) PCDN is guaranteed to converge globally despite increasing parallelism; (2) PCDN converges to the specified accuracy $\epsilon$ within the limited iteration number of $T_\epsilon$, and $T_\epsilon$ decreases with increasing parallelism (bundle size $P$).
