SOTAVerified

Object Detection

Papers

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Showing 9801–9850 of 10957 papers

TitleStatusHype
Romanus: Robust Task Offloading in Modular Multi-Sensor Autonomous Driving Systems—0
ROMA: Run-Time Object Detection To Maximize Real-Time Accuracy—0
Rooms from Motion: Un-posed Indoor 3D Object Detection as Localization and Mapping—0
Rope3D: The Roadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task—0
Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task—0
RoPETR: Improving Temporal Camera-Only 3D Detection by Integrating Enhanced Rotary Position Embedding—0
RoseTracker: A system for automated rose growth monitoring—0
Rotated Feature Network for multi-orientation object detection—0
Rotated Object Detection via Scale-invariant Mahalanobis Distance in Aerial Images—0
Rotationally Equivariant 3D Object Detection—0
Rotation Equivariant Feature Image Pyramid Network for Object Detection in Optical Remote Sensing Imagery—0
Rotation Matters: Generalized Monocular 3D Object Detection for Various Camera Systems—0
Rotation-robust Intersection over Union for 3D Object Detection—0
Rotation-Sensitive Regression for Oriented Scene Text Detection—0
RotaTR: Detection Transformer for Dense and Rotated Object—0
RPEE-HEADS: A Novel Benchmark for Pedestrian Head Detection in Crowd Videos—0
RPN Prototype Alignment for Domain Adaptive Object Detector—0
RQR3D: Reparametrizing the regression targets for BEV-based 3D object detection—0
RRL:Regional Rotation Layer in Convolutional Neural Networks—0
RS2AD: End-to-End Autonomous Driving Data Generation from Roadside Sensor Observations—0
RSBNet: One-Shot Neural Architecture Search for A Backbone Network in Remote Sensing Image Recognition—0
RSDet++: Point-based Modulated Loss for More Accurate Rotated Object Detection—0
RS-DFM: A Remote Sensing Distributed Foundation Model for Diverse Downstream Tasks—0
A lightweight target detection algorithm based on Mobilenet Convolution—0
RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection—0
RSSOD-Bench: A large-scale benchmark dataset for Salient Object Detection in Optical Remote Sensing Imagery—0
RS-TinyNet: Stage-wise Feature Fusion Network for Detecting Tiny Objects in Remote Sensing Images—0
RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving—0
RTNH+: Enhanced 4D Radar Object Detection Network using Combined CFAR-based Two-level Preprocessing and Vertical Encoding—0
R-TOSS: A Framework for Real-Time Object Detection using Semi-Structured Pruning—0
RTrack: Accelerating Convergence for Visual Object Tracking via Pseudo-Boxes Exploration—0
Run-time Introspection of 2D Object Detection in Automated Driving Systems Using Learning Representations—0
Runtime Monitoring for Out-of-Distribution Detection in Object Detection Neural Networks—0
Run-time Monitoring of 3D Object Detection in Automated Driving Systems Using Early Layer Neural Activation Patterns—0
RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting—0
RXFOOD: Plug-in RGB-X Fusion for Object of Interest Detection—0
S2R-ViT for Multi-Agent Cooperative Perception: Bridging the Gap from Simulation to Reality—0
S^2Teacher: Step-by-step Teacher for Sparsely Annotated Oriented Object Detection—0
S^3AD: Semi-supervised Small Apple Detection in Orchard Environments—0
S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving—0
S4ND: Single-Shot Single-Scale Lung Nodule Detection—0
S4OD: Semi-Supervised learning for Single-Stage Object Detection—0
SaccadeDet: A Novel Dual-Stage Architecture for Rapid and Accurate Detection in Gigapixel Images—0
Saccade Mechanisms for Image Classification, Object Detection and Tracking—0
SAC-Net: Spatial Attenuation Context for Salient Object Detection—0
s-Adaptive Decoupled Prototype for Few-Shot Object Detection—0
Safe-Construct: Redefining Construction Safety Violation Recognition as 3D Multi-View Engagement Task—0
Safe Navigation with Human Instructions in Complex Scenes—0
Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving—0
Safety-Aware Hardening of 3D Object Detection Neural Network Systems—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Co-DETRbox mAP66—Unverified
2InternImage-H (M3I Pre-training)box mAP65.5—Unverified
3M3I Pre-training (InternImage-H)box mAP65.4—Unverified
4MoCaEbox mAP65.1—Unverified
5Co-DETR (Swin-L)box mAP64.8—Unverified
6Focal-Stable-DINO (Focal-Huge, no TTA)box mAP64.8—Unverified
7EVAbox mAP64.7—Unverified
8Group DETR v2box mAP64.5—Unverified
9FocalNet-H (DINO)box mAP64.4—Unverified
10InternImage-XLbox mAP64.3—Unverified