SOTAVerified

Object Detection

Papers

Showing 14011425 of 10957 papers

TitleStatusHype
Better Monocular 3D Detectors with LiDAR from the PastCode1
DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing AttentionCode1
Align-DETR: Enhancing End-to-end Object Detection with Aligned LossCode1
Finding Your (3D) Center: 3D Object Detection Using a Learned LossCode1
COMPrompter: reconceptualized segment anything model with multiprompt network for camouflaged object detectionCode1
AlignDet: Aligning Pre-training and Fine-tuning in Object DetectionCode1
FII-CenterNet: An Anchor-Free Detector With Foreground Attention for Traffic Object DetectionCode1
Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban EnvironmentsCode1
BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object DetectionCode1
Comprehensive Attention Self-Distillation for Weakly-Supervised Object DetectionCode1
Deep Directly-Trained Spiking Neural Networks for Object DetectionCode1
Align Deep Features for Oriented Object DetectionCode1
Comprehensive Multi-Modal Prototypes are Simple and Effective Classifiers for Vast-Vocabulary Object DetectionCode1
Automated detection of COVID-19 cases using deep neural networks with X-ray imagesCode1
Align and Distill: Unifying and Improving Domain Adaptive Object DetectionCode1
BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object DetectionCode1
BEV-MAE: Bird's Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving ScenariosCode1
Deep Fourier-embedded Network for Bi-modal Salient Object DetectionCode1
Adaptive Bounding Box Uncertainties via Two-Step Conformal PredictionCode1
BEVNeXt: Reviving Dense BEV Frameworks for 3D Object DetectionCode1
Deep High-Resolution Representation Learning for Human Pose EstimationCode1
SimDistill: Simulated Multi-modal Distillation for BEV 3D Object DetectionCode1
ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary TransformerCode1
FINED: Fast Inference Network for Edge DetectionCode1
Comparison Of Deep Object Detectors On A New Vulnerable Pedestrian DatasetCode1
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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