SOTAVerified

Object Detection

Papers

Showing 776800 of 10957 papers

TitleStatusHype
Detecting Hate Speech in Multi-modal MemesCode1
Detecting the open-world objects with the help of the BrainCode1
Detection of Furigana Text in ImagesCode1
Detecting and Mapping Trees in Unstructured Environments with a Stereo Camera and Pseudo-LidarCode1
Detect, Augment, Compose, and Adapt: Four Steps for Unsupervised Domain Adaptation in Object DetectionCode1
Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A BenchmarkCode1
Det6D: A Ground-Aware Full-Pose 3D Object Detector for Improving Terrain RobustnessCode1
DetCo: Unsupervised Contrastive Learning for Object DetectionCode1
Described Object Detection: Liberating Object Detection with Flexible ExpressionsCode1
Depth Quality-Inspired Feature Manipulation for Efficient RGB-D and Video Salient Object DetectionCode1
AdaScale SGD: A User-Friendly Algorithm for Distributed TrainingCode1
Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small DatasetsCode1
Can SAM Segment Anything? When SAM Meets Camouflaged Object DetectionCode1
OK-VQA: A Visual Question Answering Benchmark Requiring External KnowledgeCode1
Depth Quality-Inspired Feature Manipulation for Efficient RGB-D Salient Object DetectionCode1
DeRPN: Taking a further step toward more general object detectionCode1
Can an Embodied Agent Find Your "Cat-shaped Mug"? LLM-Guided Exploration for Zero-Shot Object NavigationCode1
Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D ScenesCode1
An Improved Lightweight YOLOv5 Model Based on Attention Mechanism for Face Mask DetectionCode1
CAPE: Camera View Position Embedding for Multi-View 3D Object DetectionCode1
3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object DetectionCode1
Cascade-DETR: Delving into High-Quality Universal Object DetectionCode1
Canadian Adverse Driving Conditions DatasetCode1
A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language ModelCode1
Can OOD Object Detectors Learn from Foundation Models?Code1
Show:102550
← PrevPage 32 of 439Next →

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