SOTAVerified

Object Detection

Papers

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Showing 6101–6150 of 10957 papers

TitleStatusHype
Automated Multimodal Data Annotation via Calibration With Indoor Positioning System—0
Active Deformable Part Models—0
Improving 3D Object Detection through Progressive Population Based Augmentation—0
Mirror-Yolo: A Novel Attention Focus, Instance Segmentation and Mirror Detection Model—0
Distortion-adaptive Salient Object Detection in 360^ Omnidirectional Images—0
DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving—0
Mitigating Backdoor Attack Via Prerequisite Transformation—0
Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling—0
Mitigating Hallucinations in YOLO-based Object Detection Models: A Revisit to Out-of-Distribution Detection—0
Mitigating Perspective Distortion-induced Shape Ambiguity in Image Crops—0
Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation Estimation—0
Deep-6DPose: Recovering 6D Object Pose from a Single RGB Image—0
Automated Model Compression by Jointly Applied Pruning and Quantization—0
MITOS-RCNN: A Novel Approach to Mitotic Figure Detection in Breast Cancer Histopathology Images using Region Based Convolutional Neural Networks—0
Improve Object Detection by Data Enhancement based on Generative Adversarial Nets—0
Improved YOLOv5 Based on Attention Mechanism and FasterNet for Foreign Object Detection on Railway and Airway tracks—0
Improved YOLOv12 with LLM-Generated Synthetic Data for Enhanced Apple Detection and Benchmarking Against YOLOv11 and YOLOv10—0
The Overlooked Classifier in Human-Object Interaction Recognition—0
Automated Medical Device Display Reading Using Deep Learning Object Detection—0
Multi-modal Instance Refinement for Cross-domain Action Recognition—0
Improved Type III solar radio burst detection using congruent deep learning models—0
Automated Gain Control Through Deep Reinforcement Learning for Downstream Radar Object Detection—0
Active Data Discovery: Mining Unknown Data using Submodular Information Measures—0
Automated Level Crossing System: A Computer Vision Based Approach with Raspberry Pi Microcontroller—0
Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection—0
Improved Pillar with Fine-grained Feature for 3D Object Detection—0
Decoupled PROB: Decoupled Query Initialization Tasks and Objectness-Class Learning for Open World Object Detection—0
Improved Orientation Estimation and Detection with Hybrid Object Detection Networks for Automotive Radar—0
3M3D: Multi-view, Multi-path, Multi-representation for 3D Object Detection—0
Dive Deeper Into Box for Object Detection—0
Weighted Bayesian Gaussian Mixture Model for Roadside LiDAR Object Detection—0
Mixup Regularization for Region Proposal based Object Detectors—0
Improved Multi-Scale Grid Rendering of Point Clouds for Radar Object Detection Networks—0
Improved Handling of Motion Blur in Online Object Detection—0
Improved detection of small objects in road network sequences—0
Decoupled IoU Regression for Object Detection—0
Automated GIS-Based Framework for Detecting Crosswalk Changes from Bi-Temporal High-Resolution Aerial Images—0
Improved Counting and Localization from Density Maps for Object Detection in 2D and 3D Microscopy Imaging—0
Improved and efficient inter-vehicle distance estimation using road gradients of both ego and target vehicles—0
MLMA-Net: multi-level multi-attentional learning for multi-label object detection in textile defect images—0
MLMT-CNN for Object Detection and Segmentation in Multi-layer and Multi-spectral Images—0
ML Mule: Mobile-Driven Context-Aware Collaborative Learning—0
Decoupled Gradient Harmonized Detector for Partial Annotation: Application to Signet Ring Cell Detection—0
Impression Network for Video Object Detection—0
Implicit Surface Contrastive Clustering for LiDAR Point Clouds—0
Decoupled DETR: Spatially Disentangling Localization and Classification for Improved End-to-End Object Detection—0
Multimodal Icon Annotation For Mobile Applications—0
Multi-modal Sensor Fusion for Auto Driving Perception: A Survey—0
Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving—0
Decoupled DETR For Few-shot Object Detection—0
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All datasetsCOCO test-devCOCO minivalCOCO-OCOCO 2017 valPASCAL VOC 2007COCO 2017CrowdHuman (full body)CPPE-5LVIS v1.0 valManga109-s 15testPKU-DDD17-CarWaymo 2D detection all_ns f0val

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Co-DETRbox mAP66—Unverified
2InternImage-H (M3I Pre-training)box mAP65.5—Unverified
3M3I Pre-training (InternImage-H)box mAP65.4—Unverified
4MoCaEbox mAP65.1—Unverified
5Co-DETR (Swin-L)box mAP64.8—Unverified
6Focal-Stable-DINO (Focal-Huge, no TTA)box mAP64.8—Unverified
7EVAbox mAP64.7—Unverified
8Group DETR v2box mAP64.5—Unverified
9FocalNet-H (DINO)box mAP64.4—Unverified
10InternImage-XLbox mAP64.3—Unverified