SOTAVerified

Object Detection

Papers

Showing 11011125 of 10957 papers

TitleStatusHype
Semi-Supervised Object Detection with Uncurated Unlabeled Data for Remote Sensing ImagesCode1
Anchor-Intermediate Detector: Decoupling and Coupling Bounding Boxes for Accurate Object DetectionCode1
HOD: A Benchmark Dataset for Harmful Object DetectionCode1
InstructDET: Diversifying Referring Object Detection with Generalized InstructionsCode1
HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged InformationCode1
SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food DetectionCode1
Collaborative Camouflaged Object Detection: A Large-Scale Dataset and BenchmarkCode1
Toward a Plug-and-Play Vision-Based Grasping Module for RoboticsCode1
WLST: Weak Labels Guided Self-training for Weakly-supervised Domain Adaptation on 3D Object DetectionCode1
CoBEV: Elevating Roadside 3D Object Detection with Depth and Height ComplementarityCode1
ViT-ReciproCAM: Gradient and Attention-Free Visual Explanations for Vision TransformerCode1
GET: Group Event Transformer for Event-Based VisionCode1
DARTH: Holistic Test-time Adaptation for Multiple Object TrackingCode1
DST-Det: Simple Dynamic Self-Training for Open-Vocabulary Object DetectionCode1
Robust 3D Object Detection from LiDAR-Radar Point Clouds via Cross-Modal Feature AugmentationCode1
Text-image Alignment for Diffusion-based PerceptionCode1
HIC-YOLOv5: Improved YOLOv5 For Small Object DetectionCode1
Multimodal Dataset for Localization, Mapping and Crop Monitoring in Citrus Tree FarmsCode1
MoCaE: Mixture of Calibrated Experts Significantly Improves Object DetectionCode1
Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean-teacherCode1
DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge DistillationCode1
UniBEV: Multi-modal 3D Object Detection with Uniform BEV Encoders for Robustness against Missing Sensor ModalitiesCode1
Towards Robust Robot 3D Perception in Urban Environments: The UT Campus Object DatasetCode1
BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor DetectionCode1
ClusterFormer: Clustering As A Universal Visual LearnerCode1
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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