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Found 10 papers, 1 papers with code
O2V-Mapping: Online Open-Vocabulary Mapping with Neural Implicit Representation
Online construction of open-ended language scenes is crucial for robotic applications, where open-vocabulary interactive scene understanding is required.
HGS-Mapping: Online Dense Mapping Using Hybrid Gaussian Representation in Urban Scenes
However, integrating 3DGS into a street-view dense mapping framework still faces two challenges, including incomplete reconstruction due to the absence of geometric information beyond the LiDAR coverage area and extensive computation for reconstruction in large urban scenes.
OpenAnnotate3D: Open-Vocabulary Auto-Labeling System for Multi-modal 3D Data
In the era of big data and large models, automatic annotating functions for multi-modal data are of great significance for real-world AI-driven applications, such as autonomous driving and embodied AI.
UniG-Encoder: A Universal Feature Encoder for Graph and Hypergraph Node Classification
In this work, a universal feature encoder for both graph and hypergraph representation learning is designed, called UniG-Encoder.
Ranked #6 on
Node Classification
on Cornell
Improving Generalization in Visual Reinforcement Learning via Conflict-aware Gradient Agreement Augmentation
In particular, CG2A develops a Gradient Agreement Solver to adaptively balance the varying gradient magnitudes, and introduces a Soft Gradient Surgery strategy to alleviate the gradient conflicts.
Boost Vision Transformer with GPU-Friendly Sparsity and Quantization
Moreover, GPUSQ-ViT can boost actual deployment performance by 1. 39-1. 79 times and 3. 22-3. 43 times of latency and throughput on A100 GPU, and 1. 57-1. 69 times and 2. 11-2. 51 times improvement of latency and throughput on AGX Orin.
Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend
Adversarial attack is commonly regarded as a huge threat to neural networks because of misleading behavior.
FlowMap: Path Generation for Automated Vehicles in Open Space Using Traffic Flow
However, how to cognize the ``road'' for automated vehicles where there is no well-defined ``roads'' remains an open problem.
Self-Evolutionary Reservoir Computer Based on Kuramoto Model
The human brain's synapses have remarkable activity-dependent plasticity, where the connectivity patterns of neurons change dramatically, relying on neuronal activities.
Efficient universal shuffle attack for visual object tracking
Recently, adversarial attacks have been applied in visual object tracking to deceive deep trackers by injecting imperceptible perturbations into video frames.
