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Object Detection

Papers

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Showing 9701–9750 of 10957 papers

TitleStatusHype
What makes instance discrimination good for transfer learning?—0
What's in my Room? Object Recognition on Indoor Panoramic Images—0
What's Wrong With That Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution—0
When Side-Channel Attacks Break the Black-Box Property of Embedded Artificial Intelligence—0
When Super-Resolution Meets Camouflaged Object Detection: A Comparison Study—0
Which2comm: An Efficient Collaborative Perception Framework for 3D Object Detection—0
White blood cell subtype detection and classification—0
"Who is Driving around Me?" Unique Vehicle Instance Classification using Deep Neural Features—0
Whole-Herd Elephant Pose Estimation from Drone Data for Collective Behavior Analysis—0
Why Accuracy Is Not Enough: The Need for Consistency in Object Detection—0
Why is the video analytics accuracy fluctuating, and what can we do about it?—0
Wide-Residual-Inception Networks for Real-time Object Detection—0
WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild—0
Window-Object Relationship Guided Representation Learning for Generic Object Detections—0
Woodscape Fisheye Object Detection for Autonomous Driving -- CVPR 2022 OmniCV Workshop Challenge—0
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images—0
Worsening Perception: Real-time Degradation of Autonomous Vehicle Perception Performance for Simulation of Adverse Weather Conditions—0
WQT and DG-YOLO: towards domain generalization in underwater object detection—0
WS-DETR: Robust Water Surface Object Detection through Vision-Radar Fusion with Detection Transformer—0
WSOD2: Learning Bottom-up and Top-down Objectness Distillation forWeakly-supervised Object Detection—0
WSOD with PSNet and Box Regression—0
WSSOD: A New Pipeline for Weakly- and Semi-Supervised Object Detection—0
WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver-Assistance Systems—0
WW-Nets: Dual Neural Networks for Object Detection—0
X^3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection—0
X3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection—0
XAI-guided Insulator Anomaly Detection for Imbalanced Datasets—0
X-Detect: Explainable Adversarial Patch Detection for Object Detectors in Retail—0
XiNet: Efficient Neural Networks for tinyML—0
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation—0
XS-VID: An Extremely Small Video Object Detection Dataset—0
X-view: Non-egocentric Multi-View 3D Object Detector—0
X-volution: On the unification of convolution and self-attention—0
xYOLO: A Model For Real-Time Object Detection In Humanoid Soccer On Low-End Hardware—0
Yes-Net: An effective Detector Based on Global Information—0
YH-MINER: Multimodal Intelligent System for Natural Ecological Reef Metric Extraction—0
YOdar: Uncertainty-based Sensor Fusion for Vehicle Detection with Camera and Radar Sensors—0
YOGA: Deep Object Detection in the Wild with Lightweight Feature Learning and Multiscale Attention—0
YOLO11 and Vision Transformers based 3D Pose Estimation of Immature Green Fruits in Commercial Apple Orchards for Robotic Thinning—0
YOLO and K-Means Based 3D Object Detection Method on Image and Point Cloud—0
YOLO-based Object Detection in Industry 4.0 Fischertechnik Model Environment—0
YOLO-BEV: Generating Bird's-Eye View in the Same Way as 2D Object Detection—0
YOLOCS: Object Detection based on Dense Channel Compression for Feature Spatial Solidification—0
YOLO-Drone:Airborne real-time detection of dense small objects from high-altitude perspective—0
YOLO-ELA: Efficient Local Attention Modeling for High-Performance Real-Time Insulator Defect Detection—0
YOLO-FEDER FusionNet: A Novel Deep Learning Architecture for Drone Detection—0
YOLO-Former: YOLO Shakes Hand With ViT—0
YOLO in the Dark - Domain Adaptation Method for Merging Multiple Models -—0
YOLO-MED : Multi-Task Interaction Network for Biomedical Images—0
YOLOOC: YOLO-based Open-Class Incremental Object Detection with Novel Class Discovery—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