SOTAVerified

Object Detection

Papers

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Showing 5751–5800 of 10957 papers

TitleStatusHype
InfraDet3D: Multi-Modal 3D Object Detection based on Roadside Infrastructure Camera and LiDAR Sensors—0
Exploiting the Distortion-Semantic Interaction in Fisheye Data—0
Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability—0
A positive feedback method based on F-measure value for Salient Object DetectionCode0
Wearing face mask detection using deep learning through COVID-19 pandemicCode0
Nordic Vehicle Dataset (NVD): Performance of vehicle detectors using newly captured NVD from UAV in different snowy weather conditionsCode0
Detection of Adversarial Physical Attacks in Time-Series Image Data—0
OriCon3D: Effective 3D Object Detection using Orientation and Confidence—0
HyperMODEST: Self-Supervised 3D Object Detection with Confidence Score FilteringCode0
Gradient-based Maximally Interfered Retrieval for Domain Incremental 3D Object DetectionCode0
Towards Precise Weakly Supervised Object Detection via Interactive Contrastive Learning of Context Information—0
Group Equivariant BEV for 3D Object Detection—0
Training-Free Location-Aware Text-to-Image Synthesis—0
Object Semantics Give Us the Depth We Need: Multi-task Approach to Aerial Depth Completion—0
Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detection—0
Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection—0
OGMN: Occlusion-guided Multi-task Network for Object Detection in UAV Images—0
Transformer-based stereo-aware 3D object detection from binocular images—0
Segment Anything in Non-Euclidean Domains: Challenges and Opportunities—0
TransFlow: Transformer as Flow Learner—0
Automatized marine vessel monitoring from sentinel-1 data using convolution neural network—0
Informative Data Selection with Uncertainty for Multi-modal Object Detection—0
A Framework for Benchmarking Real-Time Embedded Object Detection—0
OmniLabel: A Challenging Benchmark for Language-Based Object Detection—0
HabitatDyn Dataset: Dynamic Object Detection to Kinematics EstimationCode0
Enhancing object detection robustness: A synthetic and natural perturbation approach—0
Machine Vision System for Early-stage Apple Flowers and Flower Clusters Detection for Precision Thinning and Pollination—0
MMDR: A Result Feature Fusion Object Detection Approach for Autonomous System—0
Improving Post-Training Quantization on Object Detection with Task Loss-Guided Lp Metric—0
DADFNet: Dual Attention and Dual Frequency-Guided Dehazing Network for Video-Empowered Intelligent Transportation—0
CrossFusion: Interleaving Cross-modal Complementation for Noise-resistant 3D Object Detection—0
UDTIRI: An Online Open-Source Intelligent Road Inspection Benchmark Suite—0
Applications of Deep Learning for Top-View Omnidirectional Imaging: A Survey—0
Leveraging Multi-view Data for Improved Detection Performance: An Industrial Use Case—0
A Survey on Few-Shot Class-Incremental Learning—0
OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images—0
SDVRF: Sparse-to-Dense Voxel Region Fusion for Multi-modal 3D Object Detection—0
Vehicle Safety Management System—0
Handling Heavy Occlusion in Dense Crowd Tracking by Focusing on the Heads—0
The Art of Camouflage: Few-Shot Learning for Animal Detection and SegmentationCode0
YOLO-Drone:Airborne real-time detection of dense small objects from high-altitude perspective—0
Directly Optimizing IoU for Bounding Box Localization—0
DETR with Additional Global Aggregation for Cross-domain Weakly Supervised Object Detection—0
Real-Time Helmet Violation Detection in AI City Challenge 2023 with Genetic Algorithm-Enhanced YOLOv5—0
ODAM: Gradient-based instance-specific visual explanations for object detectionCode0
Class-Incremental Learning of Plant and Disease Detection: Growing Branches with Knowledge Distillation—0
SpectFormer: Frequency and Attention is what you need in a Vision Transformer—0
Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8—0
Learning Accurate Performance Predictors for Ultrafast Automated Model CompressionCode0
Gamifying Math Education using 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