SOTAVerified

Object Detection

Papers

Showing 80518075 of 10957 papers

TitleStatusHype
Accurate, Low-Latency Visual Perception for Autonomous Racing:Challenges, Mechanisms, and Practical SolutionsCode1
On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures0
A Deep Learning-based Detector for Brown Spot Disease in Passion Fruit Plant Leaves0
EasierPath: An Open-source Tool for Human-in-the-loop Deep Learning of Renal PathologyCode1
Weakly Supervised 3D Object Detection from Point CloudsCode1
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases0
Risk-Averse MPC via Visual-Inertial Input and Recurrent Networks for Online Collision Avoidance0
Corner Proposal Network for Anchor-free, Two-stage Object DetectionCode1
Research Progress of Convolutional Neural Network and its Application in Object Detection0
Radio Access Technology Characterisation Through Object Detection0
Part-Aware Data Augmentation for 3D Object Detection in Point CloudCode1
NOH-NMS: Improving Pedestrian Detection by Nearby Objects HallucinationCode1
Two-Level Residual Distillation based Triple Network for Incremental Object Detection0
A Self-Training Approach for Point-Supervised Object Detection and Counting in CrowdsCode1
An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds0
Few-Shot Object Detection and Viewpoint Estimation for Objects in the WildCode1
Representation Sharing for Fast Object Detector Search and BeyondCode1
The Devil is in Classification: A Simple Framework for Long-tail Object Detection and Instance SegmentationCode1
PP-YOLO: An Effective and Efficient Implementation of Object DetectorCode1
Accurate RGB-D Salient Object Detection via Collaborative LearningCode1
Right for the Right Reason: Making Image Classification Robust0
Weakly Supervised 3D Object Detection from Lidar Point CloudCode1
Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object DetectionCode0
A Study on Evaluation Standard for Automatic Crack Detection Regard the Random Fractal0
A Survey on Performance Metrics for Object-Detection AlgorithmsCode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Co-DETRbox mAP66Unverified
2InternImage-H (M3I Pre-training)box mAP65.5Unverified
3M3I Pre-training (InternImage-H)box mAP65.4Unverified
4MoCaEbox mAP65.1Unverified
5Co-DETR (Swin-L)box mAP64.8Unverified
6Focal-Stable-DINO (Focal-Huge, no TTA)box mAP64.8Unverified
7EVAbox mAP64.7Unverified
8Group DETR v2box mAP64.5Unverified
9FocalNet-H (DINO)box mAP64.4Unverified
10InternImage-XLbox mAP64.3Unverified