SOTAVerified

Object Detection

Papers

Showing 101125 of 10957 papers

TitleStatusHype
PETRv2: A Unified Framework for 3D Perception from Multi-Camera ImagesCode3
PlainMamba: Improving Non-Hierarchical Mamba in Visual RecognitionCode3
Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation ModelsCode3
RCBEVDet: Radar-camera Fusion in Bird's Eye View for 3D Object DetectionCode3
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample SelectionCode3
Relation DETR: Exploring Explicit Position Relation Prior for Object DetectionCode3
MagicDrive: Street View Generation with Diverse 3D Geometry ControlCode3
Leveraging Vision-Centric Multi-Modal Expertise for 3D Object DetectionCode3
Cut and Learn for Unsupervised Object Detection and Instance SegmentationCode3
Cubify Anything: Scaling Indoor 3D Object DetectionCode3
LION: Linear Group RNN for 3D Object Detection in Point CloudsCode3
IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object DetectionCode3
Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing CommunityCode3
Hyper-YOLO: When Visual Object Detection Meets Hypergraph ComputationCode3
Separable Self-attention for Mobile Vision TransformersCode3
How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary DetectionCode3
Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object DetectionCode3
DeepInteraction++: Multi-Modality Interaction for Autonomous DrivingCode3
OmDet: Large-scale vision-language multi-dataset pre-training with multimodal detection networkCode3
Text-guided Sparse Voxel Pruning for Efficient 3D Visual GroundingCode3
Deformable DETR: Deformable Transformers for End-to-End Object DetectionCode3
Bag of Freebies for Training Object Detection Neural NetworksCode3
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object DetectionCode3
Frequency Dynamic Convolution for Dense Image PredictionCode3
General Object Foundation Model for Images and Videos at ScaleCode3
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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