SOTAVerified

Object Detection

Papers

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Showing 8801–8850 of 10957 papers

TitleStatusHype
Mixup Regularization for Region Proposal based Object Detectors—0
Mix-up Self-Supervised Learning for Contrast-agnostic Applications—0
Read, look and detect: Bounding box annotation from image-caption pairs—0
MKIoU Loss: Towards Accurate Oriented Object Detection in Aerial Images—0
ReAFFPN: Rotation-equivariant Attention Feature Fusion Pyramid Networks for Aerial Object Detection—0
MLF-DET: Multi-Level Fusion for Cross-Modal 3D Object Detection—0
MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning—0
MLMA-Net: multi-level multi-attentional learning for multi-label object detection in textile defect images—0
MLMT-CNN for Object Detection and Segmentation in Multi-layer and Multi-spectral Images—0
ML Mule: Mobile-Driven Context-Aware Collaborative Learning—0
MLOD: A multi-view 3D object detection based on robust feature fusion method—0
MLOps: A Step Forward to Enterprise Machine Learning—0
MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling with Informative-Preserved Reconstruction and Self-Distilled Consistency—0
Real-Aug: Realistic Scene Synthesis for LiDAR Augmentation in 3D Object Detection—0
MMDR: A Result Feature Fusion Object Detection Approach for Autonomous System—0
MM-FSOD: Meta and metric integrated few-shot object detection—0
mmFUSION: Multimodal Fusion for 3D Objects Detection—0
MMLF: Multi-modal Multi-class Late Fusion for Object Detection with Uncertainty Estimation—0
4Weed Dataset: Annotated Imagery Weeds Dataset—0
MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing—0
MM-Rec: Multimodal News Recommendation—0
MMRNet: Improving Reliability for Multimodal Object Detection and Segmentation for Bin Picking via Multimodal Redundancy—0
MMRotate: A Rotated Object Detection Benchmark using PyTorch—0
M&M: Tackling False Positives in Mammography with a Multi-view and Multi-instance Learning Sparse Detector—0
MmWave Radar and Vision Fusion for Object Detection in Autonomous Driving: A Review—0
MMW-Carry: Enhancing Carry Object Detection through Millimeter-Wave Radar-Camera Fusion—0
MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices—0
MOANA: Multi-Radar Dataset for Maritime Odometry and Autonomous Navigation Application—0
Mobile Application for Oral Disease Detection using Federated Learning—0
Mobile Augmented Reality with Federated Learning in the Metaverse—0
DeepMix: Mobility-aware, Lightweight, and Hybrid 3D Object Detection for Headsets—0
Mobile Object Tracking in Panoramic Video and LiDAR for Radiological Source-Object Attribution and Improved Source Detection—0
Robustness Analysis against Adversarial Patch Attacks in Fully Unmanned Stores—0
L2RDaS: Synthesizing 4D Radar Tensors for Model Generalization via Dataset Expansion—0
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding—0
Möbius Transform for Mitigating Perspective Distortions in Representation Learning—0
Real-time 3D object proposal generation and classification under limited processing resources—0
Real-time 3D Pose Estimation with a Monocular Camera Using Deep Learning and Object Priors On an Autonomous Racecar—0
Modal-Adaptive Gated Recoding Network for RGB-D Salient Object Detection—0
Modality-Buffet for Real-Time Object Detection—0
Modality-Guided Subnetwork for Salient Object Detection—0
Modality Prompts for Arbitrary Modality Salient Object Detection—0
RFWNet: A Lightweight Remote Sensing Object Detector Integrating Multi-Scale Receptive Fields and Foreground Focus Mechanism—0
LGA-RCNN: Loss-Guided Attention for Object Detection—0
Model Adaption Object Detection System for Robot—0
Model-agnostic Body Part Relevance Assessment for Pedestrian Detection—0
Model Agnostic Defense against Adversarial Patch Attacks on Object Detection in Unmanned Aerial Vehicles—0
Hierarchical Point Attention for Indoor 3D Object Detection—0
Model-based active learning to detect isometric deformable objects in the wild with deep architectures—0
Model-Based Underwater 6D Pose Estimation from RGB—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