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Object Detection

Papers

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Showing 10201–10250 of 10957 papers

TitleStatusHype
AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance DetectionCode0
Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in VideoCode0
ClickBAIT: Click-based Accelerated Incremental Training of Convolutional Neural Networks—0
Feature-Fused SSD: Fast Detection for Small ObjectsCode0
MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving—0
Differentiating Objects by Motion: Joint Detection and Tracking of Small Flying Objects—0
Zoom Out-and-In Network with Map Attention Decision for Region Proposal and Object DetectionCode0
Automatic Ground Truths: Projected Image Annotations for Omnidirectional Vision—0
End-to-End United Video Dehazing and Detection—0
Cascaded Region-based Densely Connected Network for Event Detection: A Seismic Application—0
Kernel Cross-CorrelatorCode0
CLAD: A Complex and Long Activities Dataset with Rich Crowdsourced Annotations—0
Fused Text Segmentation Networks for Multi-oriented Scene Text Detection—0
Fully Convolutional Neural Networks for Dynamic Object Detection in Grid Maps (Masters Thesis)—0
Fully Convolutional Neural Networks for Dynamic Object Detection in Grid Maps—0
Objectness Scoring and Detection Proposals in Forward-Looking Sonar Images with Convolutional Neural Networks—0
Locating 3D Object Proposals: A Depth-Based Online Approach—0
Improving Sonar Image Patch Matching via Deep Learning—0
6D Object Pose Estimation with Depth Images: A Seamless Approach for Robotic Interaction and Augmented Reality—0
Squeeze-and-Excitation NetworksCode1
Detection of Moving Object in Dynamic Background Using Gaussian Max-Pooling and Segmentation Constrained RPCA—0
Sushi Dish - Object detection and classification from real imagesCode0
Gaussian Filter in CRF Based Semantic Segmentation—0
Class Disjointness Constraints as Specific Objective Functions in Neural Network ClassifiersCode0
ChainerCV: a Library for Deep Learning in Computer VisionCode2
Semantic Foggy Scene Understanding with Synthetic Data—0
SPARCNN: SPAtially Related Convolutional Neural Networks—0
Incremental Learning of Object Detectors without Catastrophic ForgettingCode1
In search of inliers: 3d correspondence by local and global voting—0
Multiple-Kernel Based Vehicle Tracking Using 3D Deformable Model and Camera Self-Calibration—0
Towards Automatic Construction of Diverse, High-quality Image Dataset—0
Self-explanatory Deep Salient Object Detection—0
Free Space Estimation using Occupancy Grids and Dynamic Object DetectionCode0
ConvNet Architecture Search for Spatiotemporal Feature LearningCode1
Random Erasing Data AugmentationCode2
Deep Steering: Learning End-to-End Driving Model from Spatial and Temporal Visual CuesCode0
Kill Two Birds With One Stone: Boosting Both Object Detection Accuracy and Speed With adaptive Patch-of-Interest Composition—0
BlitzNet: A Real-Time Deep Network for Scene UnderstandingCode0
CoupleNet: Coupling Global Structure with Local Parts for Object DetectionCode0
Transitive Invariance for Self-supervised Visual Representation Learning—0
Weakly Supervised Image Annotation and Segmentation with Objects and Attributes—0
An Unsupervised Game-Theoretic Approach to Saliency Detection—0
Amulet: Aggregating Multi-level Convolutional Features for Salient Object DetectionCode0
PPR-FCN: Weakly Supervised Visual Relation Detection via Parallel Pairwise R-FCN—0
Learning Uncertain Convolutional Features for Accurate Saliency DetectionCode0
Learning to segment on tiny datasets: a new shape model—0
Focal Loss for Dense Object DetectionCode2
Optimizing Region Selection for Weakly Supervised Object Detection—0
Augmented Reality Meets Computer Vision : Efficient Data Generation for Urban Driving Scenes—0
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance DetectionCode1
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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