SOTAVerified

Object Detection

Papers

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Showing 7451–7500 of 10957 papers

TitleStatusHype
Half-CNN: A General Framework for Whole-Image Regression—0
HA-FGOVD: Highlighting Fine-grained Attributes via Explicit Linear Composition for Open-Vocabulary Object Detection—0
Position-Aware Relation Learning for RGB-Thermal Salient Object Detection—0
Positive-Unlabeled Data Purification in the Wild for Object Detection—0
Cross-modal Learning for Multi-modal Video Categorization—0
Postdisaster image-based damage detection and repair cost estimation of reinforced concrete buildings using dual convolutional neural networks—0
Poster: Making Edge-assisted LiDAR Perceptions Robust to Lossy Point Cloud Compression—0
Post-hoc Models for Performance Estimation of Machine Learning Inference—0
Quantitative Evaluation of a Multi-Modal Camera Setup for Fusing Event Data with RGB Images—0
Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision—0
Explainable YOLO-Based Dyslexia Detection in Synthetic Handwriting Data—0
Potato Crop Stress Identification in Aerial Images using Deep Learning-based Object Detection—0
Potential Escalator-related Injury Identification and Prevention Based on Multi-module Integrated System for Public Health—0
Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data—0
PowerYOLO: Mixed Precision Model for Hardware Efficient Object Detection with Event Data—0
Close the Sim2real Gap via Physically-based Structured Light Synthetic Data Simulation—0
AI Driven Road Maintenance Inspection—0
The Hessigheim 3D (H3D) Benchmark on Semantic Segmentation of High-Resolution 3D Point Clouds and Textured Meshes from UAV LiDAR and Multi-View-Stereo—0
Attention-Aware Generative Adversarial Networks (ATA-GANs)—0
Quantifying Nematodes through Images: Datasets, Models, and Baselines of Deep Learning—0
Quantization and Training of Low Bit-Width Convolutional Neural Networks for Object Detection—0
3D Regression Neural Network for the Quantification of Enlarged Perivascular Spaces in Brain MRI—0
Attentional Network for Visual Object Detection—0
AI-Driven Multi-Stage Computer Vision System for Defect Detection in Laser-Engraved Industrial Nameplates—0
Quantifying Context Bias in Domain Adaptation for Object Detection—0
Practical Implementation of RIS-Aided Spectrum Sensing: A Deep Learning-Based Solution—0
Gun Source and Muzzle Head Detection—0
Exploiting Activation based Gradient Output Sparsity to Accelerate Backpropagation in CNNs—0
Cross-Modality Attentive Feature Fusion for Object Detection in Multispectral Remote Sensing Imagery—0
Precise Box Score: Extract More Information from Datasets to Improve the Performance of Face Detection—0
Guided Table Structure Recognition through Anchor Optimization—0
Precise Payload Delivery via Unmanned Aerial Vehicles: An Approach Using Object Detection Algorithms—0
Precise Single-stage Detector—0
Guided Self-attention: Find the Generalized Necessarily Distinct Vectors for Grain Size Grading—0
Precision and Adaptability of YOLOv5 and YOLOv8 in Dynamic Robotic Environments—0
PreDet: Large-Scale Weakly Supervised Pre-Training for Detection—0
Cross-Modality 3D Object Detection—0
Predicting Classification Accuracy When Adding New Unobserved Classes—0
Exploiting Low-confidence Pseudo-labels for Source-free Object Detection—0
Quantifying Data Augmentation for LiDAR based 3D Object Detection—0
Quantization for Rapid Deployment of Deep Neural Networks—0
Guided Generative Models using Weak Supervision for Detecting Object Spatial Arrangement in Overhead Images—0
Cross-Modal Consistency in Multimodal Large Language Models—0
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection—0
Predictive Uncertainty in Deep Object Detectors: Estimation and Evaluation—0
Guided Focal Stack Refinement Network for Light Field Salient Object Detection—0
Preprocessing Enhanced Image Compression for Machine Vision—0
Prescriptive and Descriptive Approaches to Machine-Learning Transparency—0
Interior Object Detection and Color Harmonization—0
Guided Attention Network for Object Detection and Counting on Drones—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