Robuta

https://openreview.net/forum?id=RVVPxVuwae 3DET-Mamba: Causal Sequence Modelling for End-to-End 3D Object Detection | OpenReview Transformer-based architectures have been proven successful in detecting 3D objects from point clouds. However, the quadratic complexity of the attention... 3d object detection https://deepai.org/publication/voxelnext-fully-sparse-voxelnet-for-3d-object-detection-and-tracking VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking | DeepAI Mar 20, 2023 - 03/20/23 - 3D object detectors usually rely on hand-crafted proxies, e.g., anchors or centers, and translate well-studied 2D frameworks to 3D... 3d object detectionfullysparse https://deepai.org/publication/structure-aware-and-class-balanced-3d-object-detection-on-nuscenes-dataset Structure Aware and Class Balanced 3D Object Detection on nuScenes Dataset | DeepAI May 25, 2022 - 05/25/22 - 3-D object detection is pivotal for autonomous driving. Point cloud based methods have become increasingly popular for 3-D object ... 3d object detection https://deepai.org/publication/advmono3d-advanced-monocular-3d-object-detection-with-depth-aware-robust-adversarial-training AdvMono3D: Advanced Monocular 3D Object Detection with Depth-Aware Robust Adversarial Training |... Sep 3, 2023 - 09/03/23 - Monocular 3D object detection plays a pivotal role in the field of autonomous driving and numerous deep learning-based methods hav... 3d object detection https://deepai.org/publication/local-grid-rendering-networks-for-3d-object-detection-in-point-clouds Local Grid Rendering Networks for 3D Object Detection in Point Clouds | DeepAI Jul 4, 2020 - 07/04/20 - The performance of 3D object detection models over point clouds highly depends on their capability of modeling local geometric pat... 3d object detection https://deepai.org/publication/monodtr-monocular-3d-object-detection-with-depth-aware-transformer MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer | DeepAI Mar 21, 2022 - 03/21/22 - Monocular 3D object detection is an important yet challenging task in autonomous driving. Some existing methods leverage depth inf... 3d object detectionmonoculardepthawaretransformer https://deepai.org/publication/detzero-rethinking-offboard-3d-object-detection-with-long-term-sequential-point-clouds DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds | DeepAI Jun 9, 2023 - 06/09/23 - Existing offboard 3D detectors always follow a modular pipeline design to take advantage of unlimited sequential point clouds. We ... 3d object detection https://www.kaggle.com/datasets/garymk/kitti-3d-object-detection-dataset KITTI-3D-Object-Detection-Dataset | Kaggle KITTI 3D Object Detection Dataset For PointPillars Algorithm 3d object detectionkittidatasetkaggle https://openreview.net/forum?id=ZNBblMEP16 Depth-discriminative Metric Learning for Monocular 3D Object Detection | OpenReview Monocular 3D object detection poses a significant challenge due to the lack of depth information in RGB images. Many existing methods strive to enhance the... 3d object detectionmetric learningdepthmonocularopenreview https://openreview.net/forum?id=gsglrhvQxX&referrer=%5Bthe%20profile%20of%20Jilei%20Mao%5D(%2Fprofile%3Fid%3D~Jilei_Mao1) Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection | OpenReview Cooperatively utilizing both ego-vehicle and infrastructure sensor data can significantly enhance autonomous driving perception abilities. However, the... 3d object detection https://deepai.org/publication/centerformer-center-based-transformer-for-3d-object-detection CenterFormer: Center-based Transformer for 3D Object Detection | DeepAI Sep 12, 2022 - 09/12/22 - Query-based transformer has shown great potential in constructing long-range attention in many image-domain tasks, but has rarely ... 3d object detectioncenterbasedtransformerdeepai https://openreview.net/forum?id=jWzctSrlaz&referrer=%5Bthe%20profile%20of%20Walter%20Zimmer%5D(%2Fprofile%3Fid%3D~Walter_Zimmer1) InfraDet3D: Multi-Modal 3D Object Detection based on Roadside Infrastructure Camera and LiDAR... Current multi-modal object detection approaches focus on the vehicle domain and are limited in the perception range and the processing capabilities. Roadside... 3d object detection https://arxiv.org/abs/2003.00504 [2003.00504] MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships Abstract page for arXiv paper 2003.00504: MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships 3d object detection200300504monocular https://arxiv.org/abs/2006.11275v2 [2006.11275v2] Center-based 3D Object Detection and Tracking Abstract page for arXiv paper 2006.11275v2: Center-based 3D Object Detection and Tracking 3d object detection2006centerbasedtracking https://openreview.net/forum?id=gHAkqvxdbC&referrer=%5Bthe%20profile%20of%20KT%20Ma%5D(%2Fprofile%3Fid%3D~KT_Ma1) Dual-Perspective Knowledge Enrichment for Semi-supervised 3D Object Detection | OpenReview Semi-supervised 3D object detection is a promising yet under-explored direction to reduce data annotation costs, especially for cluttered indoor scenes. A few... 3d object detectiondualperspectiveknowledgeenrichment https://openreview.net/forum?id=Qoy12gkH4C Progressive Multi-Modal Fusion for Robust 3D Object Detection | OpenReview Multi-sensor fusion is crucial for accurate 3D object detection in autonomous driving, with cameras and LiDAR being the most commonly used sensors. However,... 3d object detectionmulti modalprogressivefusionrobust https://deepai.org/publication/kinematic-3d-object-detection-in-monocular-video Kinematic 3D Object Detection in Monocular Video | DeepAI Jul 19, 2020 - 07/19/20 - Perceiving the physical world in 3D is fundamental for self-driving applications. Although temporal motion is an invaluable resour... 3d object detectionkinematicmonocularvideodeepai https://openreview.net/forum?id=0d1gQI114C LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection | OpenReview Due to highly constrained computing power and memory, deploying 3D lidar-based detectors on edge devices equipped in autonomous vehicles and robots poses a... 3d object detectionpost training https://openreview.net/forum?id=mHcMeYVYFwV&referrer=%5Bthe%20profile%20of%20Xingcheng%20Zhou%5D(%2Fprofile%3Fid%3D~Xingcheng_Zhou1) Real-Time And Robust 3D Object Detection with Roadside LiDARs | OpenReview This work aims to address the challenges in autonomous driving by focusing on the 3D perception of the environment using roadside LiDARs. We design a 3D object... 3d object detectionreal timerobust https://www.kaggle.com/c/3d-object-detection-for-autonomous-vehicles/ Lyft 3D Object Detection for Autonomous Vehicles | Kaggle Can you advance the state of the art in 3D object detection? 3d object detectionautonomous vehicleslyftkaggle https://arxiv.org/abs/1901.08373 [1901.08373] Three-dimensional Backbone Network for 3D Object Detection in Traffic Scenes Abstract page for arXiv paper 1901.08373: Three-dimensional Backbone Network for 3D Object Detection in Traffic Scenes 3d object detection https://openreview.net/forum?id=6SofFlwhEv On the Adversarial Robustness of Camera-based 3D Object Detection | OpenReview In recent years, camera-based 3D object detection has gained widespread attention for its ability to achieve high performance with low computational cost.... 3d object detectioncamera basedadversarialrobustness https://uwaterloo.ca/waterloo-intelligent-systems-engineering-lab/references/vadet-multi-frame-lidar-3d-object-detection-using-variable VADet: Multi-Frame LiDAR 3D Object Detection Using Variable Aggregation | Waterloo Intelligent... 3d object detection https://openreview.net/forum?id=LiXf4ONdIK&referrer=%5Bthe%20profile%20of%20Junho%20Koh%5D(%2Fprofile%3Fid%3D~Junho_Koh1) D-Align: Dual Query Co-attention Network for 3D Object Detection Based on Multi-frame Point Cloud... LiDAR sensors are widely used for 3D object detection in various mobile robotics applications. LiDAR sensors continuously generate point cloud data in... https://deepai.org/publication/boundary-aware-dense-feature-indicator-for-single-stage-3d-object-detection-from-point-clouds Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds |... Apr 1, 2020 - 04/01/20 - 3D object detection based on point clouds has become more and more popular. Some methods propose localizing 3D objects directly fr... https://arxiv.org/abs/2206.12738 [2206.12738] Self-Supervised 3D Monocular Object Detection by Recycling Bounding Boxes Abstract page for arXiv paper 2206.12738: Self-Supervised 3D Monocular Object Detection by Recycling Bounding Boxes self supervised https://waymo.com/research/cramnet-camera-radar-fusion-with-ray-constrained-cross-attention-for-robust/ CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection Robust 3D object detection is critical for safe autonomous driving. Camera and radar sensors are synergistic as they capture complementary information and work...