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Object Detection

Papers

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Showing 7651–7675 of 10957 papers

TitleStatusHype
Multi-Source Domain Adaptation for Object Detection—0
Monocular 3D Object Detection: An Extrinsic Parameter Free Approach—0
Simple Training Strategies and Model Scaling for Object Detection—0
SOLO: A Simple Framework for Instance Segmentation—0
Exploring Localization for Self-supervised Fine-grained Contrastive Learning—0
SIMPL: Generating Synthetic Overhead Imagery to Address Zero-shot and Few-Shot Detection ProblemsCode0
RCNN-SliceNet: A Slice and Cluster Approach for Nuclei Centroid Detection in Three-Dimensional Fluorescence Microscopy ImagesCode0
Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search—0
Poisoning the Search Space in Neural Architecture Search—0
Cheating Detection Pipeline for Online Interviews and Exams—0
An Uncertainty Estimation Framework for Probabilistic Object DetectionCode0
Object Detection Based Handwriting Localization—0
A More Compact Object Detector Head Network with Feature Enhancement and Relational Reasoning—0
Dataset and Benchmarking of Real-Time Embedded Object Detection for RoboCup SSL—0
TANet++: Triple Attention Network with Filtered Pointcloud on 3D Detection—0
A CNN Segmentation-Based Approach to Object Detection and Tracking in Ultrasound Scans with Application to the Vagus Nerve DetectionCode0
Partially fake it till you make it: mixing real and fake thermal images for improved object detection—0
To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels—0
RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection—0
Multi-Modal 3D Object Detection in Autonomous Driving: a Survey—0
Exploring Depth Contribution for Camouflaged Object Detection—0
Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection—0
Hand-Drawn Electrical Circuit Recognition using Object Detection and Node Recognition—0
Spatio-Temporal Multi-Task Learning Transformer for Joint Moving Object Detection and Segmentation—0
Segmentation of cell-level anomalies in electroluminescence images of photovoltaic modules—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