SOTAVerified

Object Detection

Papers

Showing 53515375 of 10957 papers

TitleStatusHype
Efficient Self-supervised Vision Pretraining with Local Masked ReconstructionCode1
Unifying Voxel-based Representation with Transformer for 3D Object DetectionCode2
Label-Efficient Online Continual Object Detection in Streaming VideoCode1
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection0
Automatic Bounding Box Annotation with Small Training Data Sets for Industrial Manufacturing0
Cross-domain Detection Transformer based on Spatial-aware and Semantic-aware Token Alignment0
Point-Teaching: Weakly Semi-Supervised Object Detection with Point Annotations0
Context-Driven Detection of Invertebrate Species in Deep-Sea Video0
Deep learning with RGB and thermal images onboard a drone for monitoring operations0
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous DrivingCode3
Voxel Field Fusion for 3D Object DetectionCode1
itKD: Interchange Transfer-based Knowledge Distillation for 3D Object DetectionCode1
GCoNet+: A Stronger Group Collaborative Co-Salient Object DetectorCode4
Continual Object Detection: A review of definitions, strategies, and challenges0
Self-Supervised Visual Representation Learning with Semantic GroupingCode1
Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles0
Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object DetectionCode1
You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure CorrectionCode2
Time3D: End-to-End Joint Monocular 3D Object Detection and Tracking for Autonomous Driving0
Towards Efficient 3D Object Detection with Knowledge DistillationCode1
Masked Distillation with Receptive TokensCode1
Cervical Glandular Cell Detection from Whole Slide Image with Out-Of-Distribution DataCode0
EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense PredictionCode4
3D-model ShapeNet Core Classification using Meta-Semantic LearningCode0
P2M-DeTrack: Processing-in-Pixel-in-Memory for Energy-efficient and Real-Time Multi-Object Detection and Tracking0
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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