SOTAVerified

Object Detection

Papers

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Showing 6276–6300 of 10957 papers

TitleStatusHype
Deep-Learning-Based Computer Vision Approach For The Segmentation Of Ball Deliveries And Tracking In CricketCode0
Improving Crowded Object Detection via Copy-Paste—0
Transformation-Equivariant 3D Object Detection for Autonomous Driving—0
Ultrasound Detection of Subquadricipital Recess Distension—0
Boundary-aware Camouflaged Object Detection via Deformable Point Sampling—0
Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations—0
Benchmarking Edge Computing Devices for Grape Bunches and Trunks Detection using Accelerated Object Detection Single Shot MultiBox Deep Learning Models—0
Open-Set Object Detection Using Classification-free Object Proposal and Instance-level Contrastive Learning—0
Distinctive Self-Similar Object Detection—0
Unifying Tracking and Image-Video Object Detection—0
Context-Aware Data Augmentation for LIDAR 3D Object Detection—0
An Enhanced Object Detection Model for Scene Graph Generation—0
Detect Only What You Specify : Object Detection with Linguistic Target—0
Advanced Audio Aid for Blind People—0
You Only Label Once: 3D Box Adaptation from Point Cloud to Image via Semi-Supervised Learning—0
DETRDistill: A Universal Knowledge Distillation Framework for DETR-families—0
Interpretable Dimensionality Reduction by Feature Preserving Manifold Approximation and Projection—0
ImLiDAR: Cross-Sensor Dynamic Message Propagation Network for 3D Object Detection—0
Sources of performance variability in deep learning-based polyp detection—0
Multi-Camera Multi-Object Tracking on the Move via Single-Stage Global Association Approach—0
PAANet:Visual Perception based Four-stage Framework for Salient Object Detection using High-order Contrast Operator—0
Label-Efficient Object Detection via Region Proposal Network Pre-Training—0
Boosting Object Representation Learning via Motion and Object ContinuityCode0
Resource Allocation of Federated Learning for the Metaverse with Mobile Augmented Reality—0
RF-Annotate: Automatic RF-Supervised Image Annotation of Common Objects in Context—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