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Object Detection

Papers

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Showing 7301–7350 of 10957 papers

TitleStatusHype
Learning Object Placement by Inpainting for Compositional Data Augmentation—0
Learning Objectness from Sonar Images for Class-Independent Object Detection—0
BBBD: Bounding Box Based Detector for Occlusion Detection and Order Recovery—0
Learning Object Detection from Captions via Textual Scene Attributes—0
Depth-discriminative Metric Learning for Monocular 3D Object Detection—0
An advanced YOLOv3 method for small object detection—0
Learning non-maximum suppression—0
Learning Degradation-Independent Representations for Camera ISP Pipelines—0
Learning Multiple Visual Tasks while Discovering their Structure—0
Exploring Depth Contribution for Camouflaged Object Detection—0
Learning More with Less: GAN-based Medical Image Augmentation—0
Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels—0
Learning Mask Invariant Mutual Information for Masked Image Modeling—0
Depth Coefficients for Depth Completion—0
Depth-aware Fusion Method based on Image and 4D Radar Spectrum for 3D Object Detection—0
An Adaptive Threshold for the Canny Edge Detection with Actor-Critic Algorithm—0
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation—0
Learning Instance Activation Maps for Weakly Supervised Instance Segmentation—0
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses—0
Learning Image Descriptors with the Boosting-Trick—0
PI-RCNN: An Efficient Multi-sensor 3D Object Detector with Point-based Attentive Cont-conv Fusion Module—0
Pitch Contour Exploration Across Audio Domains: A Vision-Based Transfer Learning Approach—0
Learning Hough Regression Models via Bridge Partial Least Squares for Object Detection—0
Deployment Prior Injection for Run-time Calibratable Object Detection—0
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence—0
Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization—0
An Efficient Real-Time Object Detection Framework on Resource-Constricted Hardware Devices via Software and Hardware Co-design—0
Pixel-Anchor: A Fast Oriented Scene Text Detector with Combined Networks—0
Pixel and Feature Level Based Domain Adaption for Object Detection in Autonomous Driving—0
Learning Globally Optimized Object Detector via Policy Gradient—0
Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras—0
Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection—0
Deployment and Analysis of Instance Segmentation Algorithm for In-field Grade Estimation of Sweetpotatoes—0
Pixel-Semantic Revise of Position Learning A One-Stage Object Detector with A Shared Encoder-Decoder—0
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction—0
Learning Gaussian Maps for Dense Object Detection—0
Learning Gaussian Data Augmentation in Feature Space for One-shot Object Detection in Manga—0
An Adaptive Supervision Framework for Active Learning in Object Detection—0
Adapting Mask-RCNN for Automatic Nucleus Segmentation—0
A 58.6mW Real-Time Programmable Object Detector with Multi-Scale Multi-Object Support Using Deformable Parts Model on 1920x1080 Video at 30fps—0
Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm—0
Learning from THEODORE: A Synthetic Omnidirectional Top-View Indoor Dataset for Deep Transfer Learning—0
Place recognition: An Overview of Vision Perspective—0
Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography—0
Density-Based Clustering for 3D Object Detection in Point Clouds—0
Dense Voxel Fusion for 3D Object Detection—0
Multi-View Representation is What You Need for Point-Cloud Pre-Training—0
Planogram Compliance Control via Object Detection, Sequence Alignment, and Focused Iterative Search—0
Plantation Monitoring Using Drone Images: A Dataset and Performance Review—0
Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision—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