SOTAVerified

Object Detection

Papers

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Showing 8001–8025 of 10957 papers

TitleStatusHype
Report on UG^2+ Challenge Track 1: Assessing Algorithms to Improve Video Object Detection and Classification from Unconstrained Mobility Platforms—0
RE-POSE: Synergizing Reinforcement Learning-Based Partitioning and Offloading for Edge Object Detection—0
Glasses Detection Using Convolutional Neural Networks—0
A Survey on Object Detection in Optical Remote Sensing Images—0
Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness—0
Representation Disparity-aware Distillation for 3D Object Detection—0
Could Giant Pretrained Image Models Extract Universal Representations?—0
Representation Similarity: A Better Guidance of DNN Layer Sharing for Edge Computing without Training—0
Representative Graph Neural Network—0
Reprojection R-CNN: A Fast and Accurate Object Detector for 360° Images—0
A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection—0
GhostNetV3: Exploring the Training Strategies for Compact Models—0
REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs—0
Re-ranking Object Proposals for Object Detection in Automatic Driving—0
COTR: Convolution in Transformer Network for End to End Polyp Detection—0
GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024—0
Co-training for On-board Deep Object Detection—0
A Survey on Mamba Architecture for Vision Applications—0
Research on an Autonomous UAV Search and Rescue System Based on the Improved—0
Research on dynamic target detection and tracking system of hexapod robot—0
Research on road object detection algorithm based on improved YOLOX—0
Research Progress of Convolutional Neural Network and its Application in Object Detection—0
A Comprehensive Survey on Hardware-Aware Neural Architecture Search—0
RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility in Autonomous Vehicles—0
Revisiting DETR Pre-training for Object Detection—0
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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