SOTAVerified

Object Detection

Papers

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Showing 9301–9325 of 10957 papers

TitleStatusHype
An empirical study of automatic wildlife detection using drone thermal imaging and object detection—0
An Empirical Study of Pseudo-Labeling for Image-based 3D Object Detection—0
Building Flyweight FLIM-based CNNs with Adaptive Decoding for Object Detection—0
An End-to-End Cascaded Image Deraining and Object Detection Neural Network—0
An end-to-end CNN framework for polarimetric vision tasks based on polarization-parameter-constructing network—0
An end-to-end convolutional selective autoencoder approach to Soybean Cyst Nematode eggs detection—0
An End-to-End Framework of Road User Detection, Tracking, and Prediction from Monocular Images—0
MVFAN: Multi-View Feature Assisted Network for 4D Radar Object Detection—0
3D Object Detection Combining Semantic and Geometric Features from Point Clouds—0
MVFormer: Diversifying Feature Normalization and Token Mixing for Efficient Vision Transformers—0
An Enhanced Object Detection Model for Scene Graph Generation—0
A "Network Pruning Network" Approach to Deep Model Compression—0
A Network Structure to Explicitly Reduce Confusion Errors in Semantic Segmentation—0
A New Adversarial Perspective for LiDAR-based 3D Object Detection—0
A New Dataset and Comparative Study for Aphid Cluster Detection—0
A New Dataset and Comparative Study for Aphid Cluster Detection and Segmentation in Sorghum Fields—0
ViewpointDepth: A New Dataset for Monocular Depth Estimation Under Viewpoint Shifts—0
A New Image Codec Paradigm for Human and Machine Uses—0
A New Window Loss Function for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation—0
An Expeditious Spatial Mean Radiant Temperature Mapping Framework using Visual SLAM and Semantic Segmentation—0
An Experimental Study of Deep Convolutional Features For Iris Recognition—0
MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting through Multi-View Fusion of LiDAR Data—0
An Expressive Deep Model for Human Action Parsing from A Single Image—0
3D Fully Convolutional Network for Vehicle Detection in Point CloudCode0
Cross Modality Knowledge Distillation for Multi-Modal Aerial View Object ClassificationCode0
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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