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Object Detection

Papers

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Showing 3701–3725 of 10957 papers

TitleStatusHype
CleverDistiller: Simple and Spatially Consistent Cross-modal Distillation—0
Event-to-Video Conversion for Overhead Object Detection—0
Every Dataset Counts: Scaling up Monocular 3D Object Detection with Joint Datasets Training—0
Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization—0
Category-level Object Detection, Pose Estimation and Reconstruction from Stereo Images—0
Evolution in Groups: A deeper look at synaptic cluster driven evolution of deep neural networks—0
Fristograms: Revealing and Exploiting Light Field Internals—0
Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising—0
FROD: Robust Object Detection for Free—0
Efficient sign language recognition system and dataset creation method based on deep learning and image processing—0
Category-Level Metric Scale Object Shape and Pose Estimation—0
Efficient Scale-Permuted Backbone with Learned Resource Distribution—0
Category-Aware Transformer Network for Better Human-Object Interaction Detection—0
Expandable YOLO: 3D Object Detection from RGB-D Images—0
A Novel Shape-Aware Topological Representation for GPR Data with DNN Integration—0
Efficient resource management in UAVs for Visual Assistance—0
Category-Aware Dynamic Label Assignment with High-Quality Oriented Proposal—0
Efficient Real-time Smoke Filtration with 3D LiDAR for Search and Rescue with Autonomous Heterogeneous Robotic Systems—0
Efficient Privacy Preserving Viola-Jones Type Object Detection via Random Base Image Representation—0
A Novel Representation of Parts for Accurate 3D Object Detection and Tracking in Monocular Images—0
ADFQ-ViT: Activation-Distribution-Friendly Post-Training Quantization for Vision Transformers—0
Experimental validation of UAV search and detection system in real wilderness environment—0
Efficient Precision Control in Object Detection Models for Enhanced and Reliable Ovarian Follicle Counting—0
Efficient Poverty Mapping using Deep Reinforcement Learning—0
CAT-Det: Contrastively Augmented Transformer for Multi-modal 3D Object Detection—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