SOTAVerified

Object Detection

Papers

Showing 43264350 of 10957 papers

TitleStatusHype
Multi-Dimensional Pruning: Joint Channel, Layer and Block Pruning with Latency Constraint0
Open-Vocabulary X-ray Prohibited Item Detection via Fine-tuning CLIP0
SparseDet: A Simple and Effective Framework for Fully Sparse LiDAR-based 3D Object Detection0
SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data0
Object Detection using Oriented Window Learning Vi-sion Transformer: Roadway Assets Recognition0
MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor PerceptionCode0
Shelf-Supervised Cross-Modal Pre-Training for 3D Object DetectionCode0
YOLOv1 to YOLOv10: A comprehensive review of YOLO variants and their application in the agricultural domain0
What is the Visual Cognition Gap between Humans and Multimodal LLMs?Code0
Automated GIS-Based Framework for Detecting Crosswalk Changes from Bi-Temporal High-Resolution Aerial Images0
Computer vision-based model for detecting turning lane features on Florida's public roadways0
Enhanced Object Detection: A Study on Vast Vocabulary Object Detection Track for V3Det Challenge 20240
YOLO11 to Its Genesis: A Decadal and Comprehensive Review of The You Only Look Once (YOLO) Series0
Transformation-Dependent Adversarial Attacks0
I Don't Know You, But I Can Catch You: Real-Time Defense against Diverse Adversarial Patches for Object Detectors0
CT3D++: Improving 3D Object Detection with Keypoint-induced Channel-wise TransformerCode0
Sense Less, Generate More: Pre-training LiDAR Perception with Masked Autoencoders for Ultra-Efficient 3D SensingCode0
LiSD: An Efficient Multi-Task Learning Framework for LiDAR Segmentation and Detection0
A Semantic-Aware and Multi-Guided Network for Infrared-Visible Image FusionCode0
Teaching with Uncertainty: Unleashing the Potential of Knowledge Distillation in Object Detection0
RS-DFM: A Remote Sensing Distributed Foundation Model for Diverse Downstream Tasks0
Understanding Visual Concepts Across ModelsCode0
Advancing Roadway Sign Detection with YOLO Models and Transfer Learning0
A Deep Learning Approach to Detect Complete Safety Equipment For Construction Workers Based On YOLOv70
Unsupervised Object Detection with Theoretical Guarantees0
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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