SOTAVerified

Object Detection

Papers

Showing 21512175 of 10957 papers

TitleStatusHype
YOLOv9 for Fracture Detection in Pediatric Wrist Trauma X-ray ImagesCode1
GRA: Detecting Oriented Objects through Group-wise Rotating and Attention0
Intelligent Railroad Grade Crossing: Leveraging Semantic Segmentation and Object Detection for Enhanced Safety0
HCF-Net: Hierarchical Context Fusion Network for Infrared Small Object DetectionCode2
FishNet: Deep Neural Networks for Low-Cost Fish Stock Estimation0
Cannabis Seed Variant Detection using Faster R-CNN0
Detection of Fast-Moving Objects with Neuromorphic Hardware0
CSDNet: Detect Salient Object in Depth-Thermal via A Lightweight Cross Shallow and Deep Perception Network0
SimPB: A Single Model for 2D and 3D Object Detection from Multiple CamerasCode1
SparseFusion: Efficient Sparse Multi-Modal Fusion Framework for Long-Range 3D Perception0
Generative Region-Language Pretraining for Open-Ended Object DetectionCode2
A Hybrid SNN-ANN Network for Event-based Object Detection with Spatial and Temporal Attention0
Attention-based Class-Conditioned Alignment for Multi-Source Domain Adaptation of Object DetectorsCode0
D3T: Distinctive Dual-Domain Teacher Zigzagging Across RGB-Thermal Gap for Domain-Adaptive Object DetectionCode1
Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization0
Knowledge Distillation in YOLOX-ViT for Side-Scan Sonar Object DetectionCode2
PoIFusion: Multi-Modal 3D Object Detection via Fusion at Points of Interest0
D-YOLO a robust framework for object detection in adverse weather conditions0
SHAN: Object-Level Privacy Detection via Inference on Scene Heterogeneous Graph0
Griffon v2: Advancing Multimodal Perception with High-Resolution Scaling and Visual-Language Co-Referring0
Improving Distant 3D Object Detection Using 2D Box Supervision0
E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion DetectionCode2
CLIP-BEVFormer: Enhancing Multi-View Image-Based BEV Detector with Ground Truth Flow0
FogGuard: guarding YOLO against fog using perceptual lossCode0
Advancing Security in AI Systems: A Novel Approach to Detecting Backdoors in Deep Neural Networks0
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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