SOTAVerified

Object Detection

Papers

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Showing 3501–3525 of 10957 papers

TitleStatusHype
Ego-Motion Estimation and Dynamic Motion Separation from 3D Point Clouds for Accumulating Data and Improving 3D Object Detection—0
Egocentric Hand Track and Object-based Human Action Recognition—0
An Overall Real-Time Mechanism for Classification and Quality Evaluation of Rice—0
Empowering Urban Traffic Management: Elevated 3D LiDAR for Data Collection and Advanced Object Detection Analysis—0
Accurate Cutting-point Estimation for Robotic Lychee Harvesting through Geometry-aware Learning—0
Enabling Decision-Support Systems through Automated Cell Tower Detection—0
3DifFusionDet: Diffusion Model for 3D Object Detection with Robust LiDAR-Camera Fusion—0
Enabling energy-Efficient object detection with surrogate gradient descent in spiking neural networks—0
Cattle Detection Occlusion Problem—0
Enabling Incremental Knowledge Transfer for Object Detection at the Edge—0
Enabling Visual Recognition at Radio Frequency—0
Centerness-based Instance-aware Knowledge Distillation with Task-wise Mutual Lifting for Object Detection on Drone Imagery—0
Few-shot Oriented Object Detection with Memorable Contrastive Learning in Remote Sensing Images—0
Encoding Based Saliency Detection for Videos and Images—0
ESGN: Efficient Stereo Geometry Network for Fast 3D Object Detection—0
End-to-End 3D Object Detection using LiDAR Point Cloud—0
End-to-end Autonomous Driving using Deep Learning: A Systematic Review—0
End-to-end Compression Towards Machine Vision: Network Architecture Design and Optimization—0
A Novel Wide-Area Multiobject Detection System with High-Probability Region Searching—0
Few-shot target-driven instance detection based on open-vocabulary object detection models—0
Few-Shot Unsupervised Image-to-Image Translation on complex scenes—0
FFPA-Net: Efficient Feature Fusion with Projection Awareness for 3D Object Detection—0
End-to-End Instance Edge Detection—0
End-to-End Integration of a Convolution Network, Deformable Parts Model and Non-Maximum Suppression—0
Finding the Reflection Point: Unpadding Images to Remove Data Augmentation Artifacts in Large Open Source Image Datasets for Machine Learning—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