SOTAVerified

Object Detection

Papers

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Showing 10651–10700 of 10957 papers

TitleStatusHype
Toward Fault Detection in Industrial Welding Processes with Deep Learning and Data Augmentation—0
Toward Guaranteed Illumination Models for Non-Convex Objects—0
Toward INT4 Fixed-Point Training via Exploring Quantization Error for Gradients—0
Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation—0
Toward Onboard AI-Enabled Solutions to Space Object Detection for Space Sustainability—0
Toward RAW Object Detection: A New Benchmark and a New Model—0
Toward Robotic Weed Control: Detection of Nutsedge Weed in Bermudagrass Turf Using Inaccurate and Insufficient Training Data—0
Toward Runtime-Throttleable Neural Networks—0
Towards 3D Object Detection with 2D Supervision—0
Towards 3D Object Detection With Bimodal Deep Boltzmann Machines Over RGBD Imagery—0
Towards a Better Understanding of the Computer Vision Research Community in Africa—0
Towards Accurate Camouflaged Object Detection with Mixture Convolution and Interactive Fusion—0
Towards Accurate Localization by Instance Search—0
Towards Adversarially Robust Object Detection—0
Towards a General-Purpose Zero-Shot Synthetic Low-Light Image and Video Pipeline—0
Towards a solid solution of real-time fire and flame detection—0
Towards a Unified Compositional Model for Visual Pattern Modeling—0
Towards A Unified Neural Architecture for Visual Recognition and Reasoning—0
Towards Automatic Construction of Diverse, High-quality Image Dataset—0
Towards automatic visual inspection: A weakly supervised learning method for industrial applicable object detection—0
Towards Autonomous Driving: a Multi-Modal 360^ Perception Proposal—0
Towards Better Performance and More Explainable Uncertainty for 3D Object Detection of Autonomous Vehicles—0
Toward Scalable Image Feature Compression: A Content-Adaptive and Diffusion-Based Approach—0
Toward Scale-Invariance and Position-Sensitive Region Proposal Networks—0
Towards Class-incremental Object Detection with Nearest Mean of Exemplars—0
Towards Computational Baby Learning: A Weakly-Supervised Approach for Object Detection—0
Towards computer vision technologies: Semi-automated reading of automated utility meters—0
Towards deep observation: A systematic survey on artificial intelligence techniques to monitor fetus via Ultrasound Images—0
Towards Detection of Sheep Onboard a UAV—0
Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors—0
Towards Domain Generalization for Multi-view 3D Object Detection in Bird-Eye-View—0
Towards Domain Generalization in Object Detection—0
Towards Efficient 3D Object Detection in Bird's-Eye-View Space for Autonomous Driving: A Convolutional-Only Approach—0
Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors—0
Towards End-to-End Unsupervised Saliency Detection with Self-Supervised Top-Down Context—0
Towards Enhanced Analysis of Lung Cancer Lesions in EBUS-TBNA -- A Semi-Supervised Video Object Detection Method—0
Towards Few-Annotation Learning in Computer Vision: Application to Image Classification and Object Detection tasks—0
Towards Generalized and Incremental Few-Shot Object Detection—0
Towards Global Optimal Visual In-Context Learning Prompt Selection—0
Towards Head Computed Tomography Image Reconstruction Standardization with Deep Learning Assisted Automatic Detection—0
Towards High Performance Video Object Detection—0
Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models—0
Towards holistic scene understanding: Semantic segmentation and beyond—0
Towards Human-Machine Cooperation: Self-supervised Sample Mining for Object Detection—0
Towards Improving Calibration in Object Detection Under Domain Shift—0
Towards Improving Workers' Safety and Progress Monitoring of Construction Sites Through Construction Site Understanding—0
Towards Instance-level Image-to-Image Translation—0
Towards Instance Segmentation with Object Priority: Prominent Object Detection and Recognition—0
Towards large-scale, automated, accurate detection of CCTV camera objects using computer vision. Applications and implications for privacy, safety, and cybersecurity. (Preprint)—0
Towards Large-scale Single-shot Millimeter-wave Imaging for Low-cost Security Inspection—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