SOTAVerified

3D Object Detection

3D Object Detection is a task in computer vision where the goal is to identify and locate objects in a 3D environment based on their shape, location, and orientation. It involves detecting the presence of objects and determining their location in the 3D space in real-time. This task is crucial for applications such as autonomous vehicles, robotics, and augmented reality.

( Image credit: AVOD )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1401–1450 of 1576 papers

TitleStatusHype
SBNet: Sparse Blocks Network for Fast InferenceCode0
SaViD: Spectravista Aesthetic Vision Integration for Robust and Discerning 3D Object Detection in Challenging EnvironmentsCode0
SAILOR: Scaling Anchors via Insights into Latent Object RepresentationCode0
Improving Generalization Ability for 3D Object Detection by Learning Sparsity-invariant FeaturesCode0
ScAR: Scaling Adversarial Robustness for LiDAR Object DetectionCode0
IDD-3D: Indian Driving Dataset for 3D Unstructured Road ScenesCode0
3D Object Recognition with Ensemble Learning --- A Study of Point Cloud-Based Deep Learning ModelsCode0
UrbanNet: Leveraging Urban Maps for Long Range 3D Object DetectionCode0
SCKD: Semi-Supervised Cross-Modality Knowledge Distillation for 4D Radar Object DetectionCode0
HyperMODEST: Self-Supervised 3D Object Detection with Confidence Score FilteringCode0
S^3-MonoDETR: Supervised Shape&Scale-perceptive Deformable Transformer for Monocular 3D Object DetectionCode0
HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object DetectionCode0
Holistic 3D Scene Parsing and Reconstruction from a Single RGB ImageCode0
SE3D: A Framework For Saliency Method Evaluation In 3D ImagingCode0
RICCARDO: Radar Hit Prediction and Convolution for Camera-Radar 3D Object DetectionCode0
Resonant Scanning Design and Control for Fast Spatial SamplingCode0
Redundant Queries in DETR-Based 3D Detection Methods: Unnecessary and PrunableCode0
Real-time Collision Risk Estimation based on Stochastic Reachability SpacesCode0
Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous DrivingCode0
Detection of Intracranial Hemorrhage for Trauma PatientsCode0
Real-time 3D Traffic Cone Detection for Autonomous DrivingCode0
Detect Closer Surfaces that can be Seen: New Modeling and Evaluation in Cross-domain 3D Object DetectionCode0
V2X-AHD:Vehicle-to-Everything Cooperation Perception via Asymmetric Heterogenous Distillation NetworkCode0
Hardness-Aware Scene Synthesis for Semi-Supervised 3D Object DetectionCode0
Real-Time 3D Object Detection Using InnovizOne LiDAR and Low-Power Hailo-8 AI AcceleratorCode0
Towards a Robust Sensor Fusion Step for 3D Object Detection on Corrupted DataCode0
DenseFusion: 6D Object Pose Estimation by Iterative Dense FusionCode0
GraVoS: Voxel Selection for 3D Point-Cloud DetectionCode0
BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using DepthCode0
Warp and Learn: Novel Views Generation for Vehicles and Other ObjectsCode0
AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Scene UnderstandingCode0
DeepCompress: Efficient Point Cloud Geometry CompressionCode0
QUEST: Query Stream for Practical Cooperative PerceptionCode0
Semi-supervised 3D Object Detection with PatchTeacher and PillarMixCode0
Gradient-based Maximally Interfered Retrieval for Domain Incremental 3D Object DetectionCode0
Semi-Supervised Domain Adaptation Using Target-Oriented Domain Augmentation for 3D Object DetectionCode0
Towards Fair and Comprehensive Comparisons for Image-Based 3D Object DetectionCode0
Sense Less, Generate More: Pre-training LiDAR Perception with Masked Autoencoders for Ultra-Efficient 3D SensingCode0
FusionRCNN: LiDAR-Camera Fusion for Two-stage 3D Object DetectionCode0
Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object DetectionCode0
Quantum Inverse Contextual Vision Transformers (Q-ICVT): A New Frontier in 3D Object Detection for AVsCode0
SESS: Self-Ensembling Semi-Supervised 3D Object DetectionCode0
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous DrivingCode0
Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object DetectionCode0
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance SegmentationCode0
Shape2Scene: 3D Scene Representation Learning Through Pre-training on Shape DataCode0
Shape Anchor Guided Holistic Indoor Scene UnderstandingCode0
Three-dimensional Backbone Network for 3D Object Detection in Traffic ScenesCode0
CVCP-Fusion: On Implicit Depth Estimation for 3D Bounding Box PredictionCode0
Shelf-Supervised Cross-Modal Pre-Training for 3D Object DetectionCode0
Show:102550
← PrevPage 29 of 32Next →
All datasetsnuScenesScanNetV2SUN-RGBD valKITTI Cars EasyKITTI Cars HardnuScenes Camera OnlyKITTI Cars Easy valKITTI Cars Moderate valnuscenes Camera-RadarView-of-Delft (val)KITTI Cars Hard valDAIR-V2X-I

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78—Unverified
2MegFusionNDS0.77—Unverified
3MMFusion-eNDS0.77—Unverified
4BEVFusion-eNDS0.76—Unverified
5RacoonPowerNDS0.76—Unverified
6DeepInteraction-largeNDS0.76—Unverified
7DeepInteraction-eNDS0.76—Unverified
8FusionVPENDS0.75—Unverified
9FocalFormer3D-FNDS0.75—Unverified
10CenterPoint-FusionNDS0.75—Unverified