SOTAVerified

Object Detection

Papers

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Showing 9776–9800 of 10957 papers

TitleStatusHype
Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection—0
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery—0
DAC-SDC Low Power Object Detection Challenge for UAV Applications—0
Improving Visual Relationship Detection using Semantic Modeling of Scene Descriptions—0
Real-time Pedestrian Detection Approach with an Efficient Data Communication Bandwidth Strategy—0
Exploring the Applications of Faster R-CNN and Single-Shot Multi-box Detection in a Smart Nursery Domain—0
Smoothed Dilated Convolutions for Improved Dense PredictionCode0
Label and Sample: Efficient Training of Vehicle Object Detector from Sparsely Labeled Data—0
Deep Feature Pyramid Reconfiguration for Object Detection—0
Multidomain Document Layout Understanding using Few Shot Object Detection—0
A Survey of Modern Object Detection Literature using Deep Learning—0
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic ImageryCode0
Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization—0
Probabilistic Model of Object Detection Based on Convolutional Neural Network—0
Fast and Accurate, Convolutional Neural Network Based Approach for Object Detection from UAV—0
Network Decoupling: From Regular to Depthwise Separable ConvolutionsCode0
CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video StreamsCode0
DNN Feature Map Compression using Learned Representation over GF(2)Code0
SAN: Learning Relationship between Convolutional Features for Multi-Scale Object Detection—0
Unsupervised learning of foreground object detection—0
Unsupervised Hard Example Mining from Videos for Improved Object Detection—0
Visual Sensor Network Reconfiguration with Deep Reinforcement Learning—0
Fast Convergence for Object Detection by Learning how to Combine Error Functions—0
Object Detection in Satellite Imagery using 2-Step Convolutional Neural Networks—0
The Elephant in the RoomCode0
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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