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Object Detection

Papers

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Showing 8801–8825 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
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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