SOTAVerified

Object Detection

Papers

Showing 11511175 of 10957 papers

TitleStatusHype
Embracing Events and Frames with Hierarchical Feature Refinement Network for Object DetectionCode1
CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image UnderstandingCode1
Cloud Object Detector Adaptation by Integrating Different Source KnowledgeCode1
ELSA: Enhanced Local Self-Attention for Vision TransformerCode1
CLIP the Gap: A Single Domain Generalization Approach for Object DetectionCode1
CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object DetectionCode1
2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object DetectionCode1
Eliminating Position Bias of Language Models: A Mechanistic ApproachCode1
A Multi-task Framework for Infrared Small Target Detection and SegmentationCode1
Adapted Center and Scale Prediction: More Stable and More AccurateCode1
CLIM: Contrastive Language-Image Mosaic for Region RepresentationCode1
CLIP-Count: Towards Text-Guided Zero-Shot Object CountingCode1
AdaPool: Exponential Adaptive Pooling for Information-Retaining DownsamplingCode1
EgoObjects: A Large-Scale Egocentric Dataset for Fine-Grained Object UnderstandingCode1
ASY-VRNet: Waterway Panoptic Driving Perception Model based on Asymmetric Fair Fusion of Vision and 4D mmWave RadarCode1
Class-Difficulty Based Methods for Long-Tailed Visual RecognitionCode1
A Multimodal Hybrid Late-Cascade Fusion Network for Enhanced 3D Object DetectionCode1
CLIP-Guided Source-Free Object Detection in Aerial ImagesCode1
E-InMeMo: Enhanced Prompting for Visual In-Context LearningCode1
Empirical Upper Bound, Error Diagnosis and Invariance Analysis of Modern Object DetectorsCode1
End-to-End Semi-Supervised Object Detection with Soft TeacherCode1
CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTsCode1
Class-Agnostic Segmentation Loss and Its Application to Salient Object Detection and SegmentationCode1
1st Place Solutions for OpenImage2019 -- Object Detection and Instance SegmentationCode1
A Multi Camera Unsupervised Domain Adaptation Pipeline for Object Detection in Cultural Sites through Adversarial Learning and Self-TrainingCode1
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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