SOTAVerified

Object Detection

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6751–6775 of 10957 papers

TitleStatusHype
HPS-Det: Dynamic Sample Assignment with Hyper-Parameter Search for Object Detection—0
Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data—0
Object detection characteristics in a learning factory environment using YOLOv8—0
Cascade Attentive Dropout for Weakly Supervised Object Detection—0
On the Potential of Open-Vocabulary Models for Object Detection in Unusual Street Scenes—0
HPRM: High-Performance Robotic Middleware for Intelligent Autonomous Systems—0
Object Detection for Automated Coronary Artery Using Deep Learning—0
Object Detection for Autonomous Dozers—0
HPE-CogVLM: Advancing Vision Language Models with a Head Pose Grounding Task—0
Few-shot 1/a Anomalies Feedback : Damage Vision Mining Opportunity and Embedding Feature Imbalance—0
Object detection for crabs in top-view seabed imagery—0
Hoyer regularizer is all you need for ultra low-latency spiking neural networks—0
DALL-E for Detection: Language-driven Compositional Image Synthesis for Object Detection—0
Object Detection for Understanding Assembly Instruction Using Context-aware Data Augmentation and Cascade Mask R-CNN—0
Object Detection for Vehicle Dashcams using Transformers—0
Object Detection Free Instance Segmentation With Labeling Transformations—0
Action-Driven Object Detection with Top-Down Visual Attentions—0
How to Train an Accurate and Efficient Object Detection Model on Any Dataset—0
Auto-ACD: A Large-scale Dataset for Audio-Language Representation Learning—0
Moby: Empowering 2D Models for Efficient Point Cloud Analytics on the Edge—0
Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix—0
Object Detection in Aerial Imagery—0
On the impact of using X-ray energy response imagery for object detection via Convolutional Neural Networks—0
Object Detection in Aerial Images in Scarce Data Regimes—0
Augmented Reality Meets Computer Vision : Efficient Data Generation for Urban Driving Scenes—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Co-DETRbox mAP66—Unverified
2InternImage-H (M3I Pre-training)box mAP65.5—Unverified
3M3I Pre-training (InternImage-H)box mAP65.4—Unverified
4MoCaEbox mAP65.1—Unverified
5Co-DETR (Swin-L)box mAP64.8—Unverified
6Focal-Stable-DINO (Focal-Huge, no TTA)box mAP64.8—Unverified
7EVAbox mAP64.7—Unverified
8Group DETR v2box mAP64.5—Unverified
9FocalNet-H (DINO)box mAP64.4—Unverified
10InternImage-XLbox mAP64.3—Unverified