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Object Detection

Papers

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Showing 2401–2450 of 10957 papers

TitleStatusHype
Towards Complementary Knowledge Distillation for Efficient Dense Image Prediction—0
PLATE: A perception-latency aware estimator,—0
Deep Learning for Improved Polyp Detection from Synthetic Narrow-Band Imaging—0
AMANet: Advancing SAR Ship Detection with Adaptive Multi-Hierarchical Attention Network—0
Pragmatic Communication in Multi-Agent Collaborative PerceptionCode0
Small Language Model Meets with Reinforced Vision Vocabulary—0
MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under UncertaintyCode1
Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural CalibrationCode2
Enhancing Object Detection Performance for Small Objects through Synthetic Data Generation and Proportional Class-Balancing Technique: A Comparative Study in Industrial Scenarios—0
Concealed Object Segmentation with Hierarchical Coherence Modeling—0
A Saliency Enhanced Feature Fusion based multiscale RGB-D Salient Object Detection Network—0
Out-of-Distribution Detection & Applications With Ablated Learned Temperature EnergyCode0
Rethinking Centered Kernel Alignment in Knowledge DistillationCode1
OK-Robot: What Really Matters in Integrating Open-Knowledge Models for RoboticsCode4
MsSVT++: Mixed-scale Sparse Voxel Transformer with Center Voting for 3D Object Detection—0
Large receptive field strategy and important feature extraction strategy in 3D object detection—0
Detect-Order-Construct: A Tree Construction based Approach for Hierarchical Document Structure AnalysisCode2
ANNA: A Deep Learning Based Dataset in Heterogeneous Traffic for Autonomous VehiclesCode0
The State of Computer Vision Research in AfricaCode0
Stability Plasticity Decoupled Fine-tuning For Few-shot end-to-end Object Detection—0
Detection of Thermal Events by Semi-Supervised Learning for Tokamak First Wall Safety—0
One Step Learning, One Step ReviewCode0
Removal then Selection: A Coarse-to-Fine Fusion Perspective for RGB-Infrared Object DetectionCode2
Measuring the Impact of Scene Level Objects on Object Detection: Towards Quantitative Explanations of Detection Decisions—0
BadODD: Bangladeshi Autonomous Driving Object Detection Dataset—0
Focaler-IoU: More Focused Intersection over Union LossCode1
TDC-less Direct Time-of-Flight Imaging Using Spiking Neural Networks—0
Improving fine-grained understanding in image-text pre-training—0
BlenDA: Domain Adaptive Object Detection through diffusion-based blendingCode1
Developing an AI-based Integrated System for Bee Health Evaluation—0
M3BUNet: Mobile Mean Max UNet for Pancreas Segmentation on CT-Scans—0
MAMBA: Multi-level Aggregation via Memory Bank for Video Object DetectionCode1
Depth Over RGB: Automatic Evaluation of Open Surgery Skills Using Depth Camera—0
Agricultural Object Detection with You Look Only Once (YOLO) Algorithm: A Bibliometric and Systematic Literature Review—0
A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask InpaintingCode2
Design and development of opto-neural processors for simulation of neural networks trained in image detection for potential implementation in hybrid robotics—0
Trapped in texture bias? A large scale comparison of deep instance segmentationCode1
Enhancing Lidar-based Object Detection in Adverse Weather using Offset Sequences in Time—0
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space ModelCode2
End-to-End Optimized Image Compression with the Frequency-Oriented Transform—0
Robust Tiny Object Detection in Aerial Images amidst Label NoiseCode0
SAMF: Small-Area-Aware Multi-focus Image Fusion for Object DetectionCode1
Small Object Detection by DETR via Information Augmentation and Adaptive Feature Fusion—0
Generative Denoise Distillation: Simple Stochastic Noises Induce Efficient Knowledge Transfer for Dense PredictionCode0
Discriminative Consensus Mining with A Thousand Groups for More Accurate Co-Salient Object DetectionCode0
CascadeV-Det: Cascade Point Voting for 3D Object DetectionCode0
Fine-Grained Prototypes Distillation for Few-Shot Object DetectionCode2
Machine Learning Based Object Tracking—0
DCDet: Dynamic Cross-based 3D Object DetectorCode1
DA-BEV: Unsupervised Domain Adaptation for Bird's Eye View Perception—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