SOTAVerified

Object Detection

Papers

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Showing 4551–4575 of 10957 papers

TitleStatusHype
Finding Dino: A plug-and-play framework for unsupervised detection of out-of-distribution objects using prototypes—0
Simplifying Two-Stage Detectors for On-Device Inference in Remote Sensing—0
Run-time Monitoring of 3D Object Detection in Automated Driving Systems Using Early Layer Neural Activation Patterns—0
Exploiting Object-based and Segmentation-based Semantic Features for Deep Learning-based Indoor Scene Classification—0
Separated Attention: An Improved Cycle GAN Based Under Water Image Enhancement Method—0
GLID: Pre-training a Generalist Encoder-Decoder Vision Model—0
ConsistencyDet: A Few-step Denoising Framework for Object Detection Using the Consistency ModelCode0
Accurate Tennis Court Line Detection on Amateur Recorded Matches—0
Enhanced Cooperative Perception for Autonomous Vehicles Using Imperfect Communication—0
Sparse Points to Dense Clouds: Enhancing 3D Detection with Limited LiDAR Data—0
Identification of Fine-grained Systematic Errors via Controlled Scene Generation—0
Improving Facial Landmark Detection Accuracy and Efficiency with Knowledge Distillation—0
Enhanced Radar Perception via Multi-Task Learning: Towards Refined Data for Sensor Fusion Applications—0
Automatic Defect Detection in Sewer Network Using Deep Learning Based Object Detector—0
Label-Efficient 3D Object Detection For Road-Side Units—0
3D-COCO: extension of MS-COCO dataset for image detection and 3D reconstruction modules—0
MOSE: Boosting Vision-based Roadside 3D Object Detection with Scene Cues—0
Few-Shot Object Detection: Research Advances and Challenges—0
Hyperbolic Learning with Synthetic Captions for Open-World Detection—0
AirShot: Efficient Few-Shot Detection for Autonomous ExplorationCode0
Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement—0
DifFUSER: Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentation—0
GLCM-Based Feature Combination for Extraction Model Optimization in Object Detection Using Machine Learning—0
Context-Aware Aerial Object Detection: Leveraging Inter-Object and Background Relationships—0
A Methodology to Study the Impact of Spiking Neural Network Parameters considering Event-Based Automotive Data—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