SOTAVerified

Object Detection

Papers

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Showing 5601–5650 of 10957 papers

TitleStatusHype
Indian Commercial Truck License Plate Detection and Recognition for Weighbridge Automation—0
Deep inspection: an electrical distribution pole parts study via deep neural networks—0
Automatic Detection and Rectification of Paper Receipts on Smartphones—0
Learn to Predict Sets Using Feed-Forward Neural Networks—0
Detecting Car Speed using Object Detection and Depth Estimation: A Deep Learning Framework—0
LEF: Late-to-Early Temporal Fusion for LiDAR 3D Object Detection—0
Incremental Object Detection with CLIP—0
Active Learning for Lane Detection: A Knowledge Distillation Approach—0
Maximum Margin Vector Correlation Filter—0
Incremental Object-Based Novelty Detection with Feedback Loop—0
DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection—0
Incrementally Zero-Shot Detection by an Extreme Value Analyzer—0
DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection—0
Training Data Subset Search with Ensemble Active Learning—0
Automatic Detection and Recognition of Individuals in Patterned Species—0
Incremental Learning for Robot Perception through HRI—0
Incremental Few-Shot Object Detection—0
Automatic Detection and Image Recognition of Precision Agriculture for Citrus Diseases—0
ALP: Action-Aware Embodied Learning for Perception—0
MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors—0
Incremental Few-Shot Learning via Implanting and Compressing—0
Level Set-Based Camera Pose Estimation From Multiple 2D/3D Ellipse-Ellipsoid Correspondences—0
Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning—0
Incremental Deep Learning for Robust Object Detection in Unknown Cluttered Environments—0
Increasing pedestrian detection performance through weighting of detection impairing factors—0
Detecting Mammals in UAV Images: Best Practices to address a substantially Imbalanced Dataset with Deep Learning—0
Deep Generic Dynamic Object Detection Based on Dynamic Grid Maps—0
Leveraging Color Channel Independence for Improved Unsupervised Object Detection—0
Leveraging Confident Image Regions for Source-Free Domain-Adaptive Object Detection—0
Diminishing Domain Bias by Leveraging Domain Labels in Object Detection on UAVs—0
Automatic Defect Detection in Sewer Network Using Deep Learning Based Object Detector—0
In-context Cross-Density Adaptation on Noisy Mammogram Abnormalities Detection—0
Inconsistency-based Active Learning for LiDAR Object Detection—0
Leveraging Long-Range Temporal Relationships Between Proposals for Video Object Detection—0
Leveraging Multi-view Data for Improved Detection Performance: An Industrial Use Case—0
Leveraging object detection for the identification of lung cancer—0
Leveraging PointNet and PointNet++ for Lyft Point Cloud Classification Challenge—0
Leveraging Pre-Trained 3D Object Detection Models For Fast Ground Truth Generation—0
Deep Generative Adversarial Compression Artifact Removal—0
Leveraging Self-Supervised Instance Contrastive Learning for Radar Object Detection—0
Leveraging Superfluous Information in Contrastive Representation Learning—0
Inception-YOLO: Computational cost and accuracy improvement of the YOLOv5 model based on employing modified CSP, SPPF, and inception modules—0
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection—0
Leveraging the Edge and Cloud for V2X-Based Real-Time Object Detection in Autonomous Driving—0
Break a Lag: Triple Exponential Moving Average for Enhanced Optimization—0
Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving—0
Automatic dataset generation for specific object detection—0
A Low Rank Promoting Prior for Unsupervised Contrastive Learning—0
Detecting streaks in smart telescopes images with Deep Learning—0
IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection—0
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All datasetsCOCO test-devCOCO minivalCOCO-OCOCO 2017 valPASCAL VOC 2007COCO 2017CrowdHuman (full body)CPPE-5LVIS v1.0 valManga109-s 15testPKU-DDD17-CarWaymo 2D detection all_ns f0val

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