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Object Detection

Papers

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Showing 8751–8800 of 10957 papers

TitleStatusHype
Context R-CNN: Long Term Temporal Context for Per-Camera Object DetectionCode0
Kernel learning for visual perceptionCode0
Deep Learning Based Segmentation Free License Plate Recognition Using Roadway Surveillance Camera Images—0
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample SelectionCode3
Object Detection with Convolutional Neural Networks—0
Multiple Anchor Learning for Visual Object DetectionCode1
Deep Model Compression Via Two-Stage Deep Reinforcement Learning—0
Research on dynamic target detection and tracking system of hexapod robot—0
Self-Supervised Learning of Pretext-Invariant RepresentationsCode1
Deep Learning based Switching Filter for Impulsive Noise Removal in Color ImagesCode0
It GAN DO Better: GAN-based Detection of Objects on Images with Varying Quality—0
Learning to Separate: Detecting Heavily-Occluded Objects in Urban ScenesCode0
EventGAN: Leveraging Large Scale Image Datasets for Event CamerasCode0
Real-Time Panoptic Segmentation from Dense Detections—0
IENet: Interacting Embranchment One Stage Anchor Free Detector for Orientation Aerial Object Detection—0
MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices—0
Mixture Dense Regression for Object Detection and Human Pose EstimationCode0
IPG-Net: Image Pyramid Guidance Network for Small Object Detection—0
Interpreting Context of Images using Scene Graphs—0
RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving—0
Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images—0
Data Parameters: A New Family of Parameters for Learning a Differentiable CurriculumCode0
Consistency-based Semi-supervised Learning for Object detectionCode0
Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks—0
Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection—0
DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision—0
Memory-oriented Decoder for Light Field Salient Object DetectionCode0
muSSP: Efficient Min-cost Flow Algorithm for Multi-object TrackingCode0
Relation Graph Network for 3D Object Detection in Point Clouds—0
Prior-based Domain Adaptive Object Detection for Hazy and Rainy Conditions—0
Online Structured Sparsity-based Moving Object Detection from Satellite Videos—0
CAGNet: Content-Aware Guidance for Salient Object DetectionCode1
Designing the Next Generation of Intelligent Personal Robotic Assistants for the Physically Impaired—0
Training Multi-Object Detector by Estimating Bounding Box Distribution for Input ImageCode0
One-Shot Object Detection with Co-Attention and Co-ExcitationCode1
Siam R-CNN: Visual Tracking by Re-DetectionCode0
SAPD：Soft Anchor-Point DetectorCode0
Soft Anchor-Point Object DetectionCode0
Empirical Upper Bound in Object Detection and MoreCode1
CSPNet: A New Backbone that can Enhance Learning Capability of CNNCode1
Residual Bi-Fusion Feature Pyramid Network for Accurate Single-shot Object Detection—0
PointRGCN: Graph Convolution Networks for 3D Vehicles Detection Refinement—0
Multi-View Matching Network for 6D Pose Estimation—0
Towards Precise End-to-end Weakly Supervised Object Detection NetworkCode1
Domain-Aware Dynamic Networks—0
Deep Template-based Object Instance DetectionCode0
F3Net: Fusion, Feedback and Focus for Salient Object DetectionCode1
WSOD with PSNet and Box Regression—0
Meta-Learning of Neural Architectures for Few-Shot LearningCode1
Deep Mixture Density Network for Probabilistic Object Detection—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