SOTAVerified

Object Detection

Papers

Showing 801825 of 10957 papers

TitleStatusHype
Deep Directly-Trained Spiking Neural Networks for Object DetectionCode1
Deep Dive Into Gradients: Better Optimization for 3D Object Detection With Gradient-Corrected IoU SupervisionCode1
OK-VQA: A Visual Question Answering Benchmark Requiring External KnowledgeCode1
An Interactively Reinforced Paradigm for Joint Infrared-Visible Image Fusion and Saliency Object DetectionCode1
A Dataset for Provident Vehicle Detection at NightCode1
Deep High-Resolution Representation Learning for Human Pose EstimationCode1
DA-Mamba: Domain Adaptive Hybrid Mamba-Transformer Based One-Stage Object DetectionCode1
An Investigation of Preprocessing Filters and Deep Learning Methods for Vessel Type Classification With Underwater Acoustic DataCode1
Deep learning approaches to building rooftop thermal bridge detection from aerial imagesCode1
Deep Learning Based Brain Tumor Segmentation: A SurveyCode1
DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within DatasetsCode1
Deep learning for radar data exploitation of autonomous vehicleCode1
Nonlinear optical encoding enabled by recurrent linear scatteringCode1
Deeply supervised salient object detection with short connectionsCode1
Dataset Enhancement with Instance-Level AugmentationsCode1
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayersCode1
A Robotic Approach towards Quantifying Epipelagic Bound Plastic Using Deep Visual ModelsCode1
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object DetectionCode1
A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language ModelCode1
Deformable Convolutional NetworksCode1
Deformable PV-RCNN: Improving 3D Object Detection with Learned DeformationsCode1
AnoDFDNet: A Deep Feature Difference Network for Anomaly DetectionCode1
DATE: Dual Assignment for End-to-End Fully Convolutional Object DetectionCode1
Delving into Localization Errors for Monocular 3D Object DetectionCode1
An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object DetectionCode1
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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