SOTAVerified

Object Detection

Papers

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Showing 8601–8650 of 10957 papers

TitleStatusHype
Machine-learning based methodologies for 3d x-ray measurement, characterization and optimization for buried structures in advanced ic packages—0
Machine Learning Based Object Tracking—0
Machine Learning Techniques to Detect and Characterise Whistler Radio Waves—0
Machine Learning with DBOS—0
Machine learning with limited data—0
Machine Vision System for Early-stage Apple Flowers and Flower Clusters Detection for Precision Thinning and Pollination—0
MAC: ModAlity Calibration for Object Detection—0
Revisiting Table Detection Datasets for Visually Rich Documents—0
MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds—0
MAFE R-CNN: Selecting More Samples to Learn Category-aware Features for Small Object Detection—0
MAFormer: A Transformer Network with Multi-scale Attention Fusion for Visual Recognition—0
A Bi-Directional Message Passing Model for Salient Object Detection—0
MAGIC: Mastering Physical Adversarial Generation in Context through Collaborative LLM Agents—0
Maintaining a Reliable World Model using Action-aware Perceptual Anchoring—0
RADiff: Controllable Diffusion Models for Radio Astronomical Maps Generation—0
Radio Access Technology Characterisation Through Object Detection—0
Radio astronomical images object detection and segmentation: A benchmark on deep learning methods—0
MAMAT: 3D Mamba-Based Atmospheric Turbulence Removal and its Object Detection Capability—0
MambaBEV: An efficient 3D detection model with Mamba2—0
MambaDETR: Query-based Temporal Modeling using State Space Model for Multi-View 3D Object Detection—0
MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection—0
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning—0
MambaNeXt-YOLO: A Hybrid State Space Model for Real-time Object Detection—0
A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation—0
RadSimReal: Bridging the Gap Between Synthetic and Real Data in Radar Object Detection With Simulation—0
A Benchmark dataset for both underwater image enhancement and underwater object detection—0
A Benchmark Dataset and Saliency-guided Stacked Autoencoders for Video-based Salient Object Detection—0
MAM Faster R-CNN: Improved Faster R-CNN based on Malformed Attention Module for object detection on X-ray security inspection—0
Mango Tree Net -- A fully convolutional network for semantic segmentation and individual crown detection of mango trees—0
R-AGNO-RPN: A LIDAR-Camera Region Deep Network for Resolution-Agnostic Detection—0
MapFusion: A General Framework for 3D Object Detection with HDMaps—0
MAP-Gen: An Automated 3D-Box Annotation Flow with Multimodal Attention Point Generator—0
SaRPFF: A Self-Attention with Register-based Pyramid Feature Fusion module for enhanced RLD detection—0
MarineDet: Towards Open-Marine Object Detection—0
Marine life through You Only Look Once's perspective—0
Vision meets algae: A novel way for microalgae recognization and health monitor—0
mart mobile application to recognize tomato leaf diseases using Convolutional Neural Networks—0
MaRU: A Manga Retrieval and Understanding System Connecting Vision and Language—0
Rain rendering for evaluating and improving robustness to bad weather—0
MASF-YOLO: An Improved YOLOv11 Network for Small Object Detection on Drone View—0
Mask3D: Pre-training 2D Vision Transformers by Learning Masked 3D Priors—0
RainSD: Rain Style Diversification Module for Image Synthesis Enhancement using Feature-Level Style Distribution—0
RaLiBEV: Radar and LiDAR BEV Fusion Learning for Anchor Box Free Object Detection Systems—0
MaskBEV: Towards A Unified Framework for BEV Detection and Map Segmentation—0
Abductive Ego-View Accident Video Understanding for Safe Driving Perception—0
Robust Scale Estimation in Real-Time Monocular SFM for Autonomous Driving—0
Masked Autoencoders Are Stronger Knowledge Distillers—0
Revisiting the Transferability of Supervised Pretraining: an MLP Perspective—0
1-HKUST: Object Detection in ILSVRC 2014—0
ABBSPO: Adaptive Bounding Box Scaling and Symmetric Prior based Orientation Prediction for Detecting Aerial Image Objects—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