SOTAVerified

Object Detection

Papers

Showing 19762000 of 10957 papers

TitleStatusHype
Highly Efficient and Unsupervised Framework for Moving Object Detection in Satellite VideosCode1
Comparison Of Deep Object Detectors On A New Vulnerable Pedestrian DatasetCode1
Hierarchical Graph Interaction Transformer with Dynamic Token Clustering for Camouflaged Object DetectionCode1
Center and Scale Prediction: Anchor-free Approach for Pedestrian and Face DetectionCode1
Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object DetectionCode1
DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse MotionCode1
High-level camera-LiDAR fusion for 3D object detection with machine learningCode1
Is normalization indispensable for training deep neural network?Code1
Hire-MLP: Vision MLP via Hierarchical RearrangementCode1
HINTED: Hard Instance Enhanced Detector with Mixed-Density Feature Fusion for Sparsely-Supervised 3D Object DetectionCode1
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D PerceptionCode1
AcroFOD: An Adaptive Method for Cross-domain Few-shot Object DetectionCode1
Isometric Transformation Invariant and Equivariant Graph Convolutional NetworksCode1
DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasetsCode1
Is Depth Really Necessary for Salient Object Detection?Code1
Acquisition of Localization Confidence for Accurate Object DetectionCode1
Holistic 3D Scene Understanding from a Single Image with Implicit RepresentationCode1
Homography Loss for Monocular 3D Object DetectionCode1
Is Discretization Fusion All You Need for Collaborative Perception?Code1
HoughNet: Integrating near and long-range evidence for bottom-up object detectionCode1
HoughNet: Integrating near and long-range evidence for visual detectionCode1
Physical Attack on Monocular Depth Estimation with Optimal Adversarial PatchesCode1
Comprehensive Attention Self-Distillation for Weakly-Supervised Object DetectionCode1
Is Pseudo-Lidar needed for Monocular 3D Object detection?Code1
Attention Guided Cosine Margin For Overcoming Class-Imbalance in Few-Shot Road Object DetectionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Co-DETRbox mAP66Unverified
2InternImage-H (M3I Pre-training)box mAP65.5Unverified
3M3I Pre-training (InternImage-H)box mAP65.4Unverified
4MoCaEbox mAP65.1Unverified
5Co-DETR (Swin-L)box mAP64.8Unverified
6Focal-Stable-DINO (Focal-Huge, no TTA)box mAP64.8Unverified
7EVAbox mAP64.7Unverified
8Group DETR v2box mAP64.5Unverified
9FocalNet-H (DINO)box mAP64.4Unverified
10InternImage-XLbox mAP64.3Unverified