SOTAVerified

Object Detection

Papers

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Showing 5751–5800 of 10957 papers

TitleStatusHype
BSED: Baseline Shapley-Based Explainable Detector—0
Drosophila-Inspired 3D Moving Object Detection Based on Point Clouds—0
DropTrack -- automatic droplet tracking using deep learning for microfluidic applications—0
BSDP: Brain-inspired Streaming Dual-level Perturbations for Online Open World Object Detection—0
Dropout Sampling for Robust Object Detection in Open-Set Conditions—0
Dropout Distillation for Efficiently Estimating Model Confidence—0
DropKey for Vision Transformer—0
Bring Remote Sensing Object Detect Into Nature Language Model: Using SFT Method—0
Bright Channel Prior Attention for Multispectral Pedestrian Detection—0
A Dataset for Developing and Benchmarking Active Vision—0
Accelerating Neural Network Inference by Overflow Aware Quantization—0
3D-FCT: Simultaneous 3D Object Detection and Tracking Using Feature Correlation—0
Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions—0
DropKey—0
Bridging the View Disparity Between Radar and Camera Features for Multi-modal Fusion 3D Object Detection—0
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting—0
Drone-type-Set: Drone types detection benchmark for drone detection and tracking—0
Bridging the Performance Gap between DETR and R-CNN for Graphical Object Detection in Document Images—0
Drone Object Detection Using RGB/IR Fusion—0
Bayesian Active Learning for Sim-to-Real Robotic Perception—0
An Improving Framework of regularization for Network Compression—0
DroBoost: An Intelligent Score and Model Boosting Method for Drone Detection—0
DRL-ISP: Multi-Objective Camera ISP with Deep Reinforcement Learning—0
Bridging the Gap between Real-world and Synthetic Images for Testing Autonomous Driving Systems—0
Driving Scene Perception Network: Real-time Joint Detection, Depth Estimation and Semantic Segmentation—0
DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving—0
Drishtikon: An advanced navigational aid system for visually impaired people—0
Bridging the Gap Between Object Detection and User Intent via Query-Modulation—0
An Improvement of Object Detection Performance using Multi-step Machine Learnings—0
Bridging the Gap Between Detection and Tracking: A Unified Approach—0
Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning—0
DQnet: Cross-Model Detail Querying for Camouflaged Object Detection—0
An Improved Deep Learning Approach For Product Recognition on Racks in Retail Stores—0
A Data-efficient Framework for Robotics Large-scale LiDAR Scene Parsing—0
Bridging Saliency Detection to Weakly Supervised Object Detection Based on Self-paced Curriculum Learning—0
DPSNN: A Differentially Private Spiking Neural Network with Temporal Enhanced Pooling—0
DPPD: Deformable Polar Polygon Object Detection—0
DPointNet: A Density-Oriented PointNet for 3D Object Detection in Point Clouds—0
DPODv2: Dense Correspondence-Based 6 DoF Pose Estimation—0
Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection—0
Using constraint structure and an improved object detection network to detect the 12^th Vertebra from CT images with a limited field of view for image-guided radiotherapy—0
AdaScale: Towards Real-time Video Object Detection Using Adaptive Scaling—0
Accelerating Federated Edge Learning via Topology Optimization—0
DPNet: Dynamic Pooling Network for Tiny Object Detection—0
Bridging Gap between Image Pixels and Semantics via Supervision: A Survey—0
DPNET: Dual-Path Network for Efficient Object Detectioj with Lightweight Self-Attention—0
Bridging between Computer and Robot Vision through Data Augmentation: a Case Study on Object Recognition—0
Bridging Annotation Gaps: Transferring Labels to Align Object Detection Datasets—0
Learning Coated Adversarial Camouflages for Object Detectors—0
Do we listen to what we are told? An empirical study on human behaviour during the COVID-19 pandemic: neural networks vs. regression analysis—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