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Object Detection

Papers

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Showing 4851–4875 of 10957 papers

TitleStatusHype
Detecting Abnormal Health Conditions in Smart Home Using a Drone—0
Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes—0
Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection—0
Joint-DetNAS: Upgrade Your Detector with NAS, Pruning and Dynamic Distillation—0
Detect Globally, Refine Locally: A Novel Approach to Saliency Detection—0
DetectFusion: Detecting and Segmenting Both Known and Unknown Dynamic Objects in Real-time SLAM—0
3D Adversarial Augmentations for Robust Out-of-Domain Predictions—0
Analysis of Object Detection Models for Tiny Object in Satellite Imagery: A Dataset-Centric Approach—0
Joint Detection and Tracking in Videos with Identification Features—0
Analysis and Interpretation of Deep CNN Representations as Perceptual Quality Features—0
Detect2Rank : Combining Object Detectors Using Learning to Rank—0
Adaptive Adversarial Attack on Scene Text Recognition—0
Joint Denoising / Compression of Image Contours via Shape Prior and Context Tree—0
Joint Detection, Tracking and Mapping by Semantic Bundle Adjustment—0
Detect2Interact: Localizing Object Key Field in Visual Question Answering (VQA) with LLMs—0
DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception—0
DetCLIPv3: Towards Versatile Generative Open-vocabulary Object Detection—0
Analysis and a Solution of Momentarily Missed Detection for Anchor-based Object Detectors—0
Adapting Vehicle Detector to Target Domain by Adversarial Prediction Alignment—0
DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment—0
DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection—0
Benchmarking Edge Computing Devices for Grape Bunches and Trunks Detection using Accelerated Object Detection Single Shot MultiBox Deep Learning Models—0
DESTR: Object Detection With Split Transformer—0
Analysis and Adaptation of YOLOv4 for Object Detection in Aerial Images—0
Joint Cascade Optimization Using A Product Of Boosted Classifiers—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