SOTAVerified

Object Detection

Papers

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Showing 9051–9100 of 10957 papers

TitleStatusHype
Dynamic V2X Autonomous Perception from Road-to-Vehicle Vision—0
Dynamic Zoom-in Network for Fast Object Detection in Large Images—0
DynStatF: An Efficient Feature Fusion Strategy for LiDAR 3D Object Detection—0
D-YOLO a robust framework for object detection in adverse weather conditions—0
DySS: Dynamic Queries and State-Space Learning for Efficient 3D Object Detection from Multi-Camera Videos—0
E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning—0
2nd Place Solution for Waymo Open Dataset Challenge -- 2D Object Detection—0
E^3-UAV: An Edge-based Energy-Efficient Object Detection System for Unmanned Aerial Vehicles—0
OVRL-V2: A simple state-of-art baseline for ImageNav and ObjectNav—0
EAGLE: Large-scale Vehicle Detection Dataset in Real-World Scenarios using Aerial Imagery—0
OV-SCAN: Semantically Consistent Alignment for Novel Object Discovery in Open-Vocabulary 3D Object Detection—0
OVSNet : Towards One-Pass Real-Time Video Object Segmentation—0
On Applying Machine Learning/Object Detection Models for Analysing Digitally Captured Physical Prototypes from Engineering Design Projects—0
Early Diagnosis and Severity Assessment of Weligama Coconut Leaf Wilt Disease and Coconut Caterpillar Infestation using Deep Learning-based Image Processing Techniques—0
EarthSynth: Generating Informative Earth Observation with Diffusion Models—0
2nd Place Solution for SODA10M Challenge 2021 -- Continual Detection Track—0
Renormalized Connection for Scale-preferred Object Detection in Satellite Imagery—0
Eating Smart: Advancing Health Informatics with the Grounding DINO based Dietary Assistant App—0
EAutoDet: Efficient Architecture Search for Object Detection—0
Adaptive Detection of Fast Moving Celestial Objects Using a Mixture of Experts and Physical-Inspired Neural Network—0
ECEA: Extensible Co-Existing Attention for Few-Shot Object Detection—0
EC-IoU: Orienting Safety for Object Detectors via Ego-Centric Intersection-over-Union—0
EcoFusion: Energy-Aware Adaptive Sensor Fusion for Efficient Autonomous Vehicle Perception—0
ECORE: Energy-Conscious Optimized Routing for Deep Learning Models at the Edge—0
ECOR: Explainable CLIP for Object Recognition—0
EcoSense: Energy-Efficient Intelligent Sensing for In-Shore Ship Detection through Edge-Cloud Collaboration—0
ECPC-IDS:A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions—0
EdaDet: Open-Vocabulary Object Detection Using Early Dense Alignment—0
EDF: Ensemble, Distill, and Fuse for Easy Video Labeling—0
Edge-AI for Agriculture: Lightweight Vision Models for Disease Detection in Resource-Limited Settings—0
Edge Based Oriented Object Detection—0
Edge-Cloud Collaborated Object Detection via Difficult-Case Discriminator—0
Edge-Cloud Cooperation for DNN Inference via Reinforcement Learning and Supervised Learning—0
Edge Computing Enabled Real-Time Video Analysis via Adaptive Spatial-Temporal Semantic Filtering—0
Edge Device Deployment of Multi-Tasking Network for Self-Driving Operations—0
Edge-guided Non-local Fully Convolutional Network for Salient Object Detection—0
Edge-guided Representation Learning for Underwater Object Detection—0
EdgeNet: Balancing Accuracy and Performance for Edge-based Convolutional Neural Network Object Detectors—0
Edge Network-Assisted Real-Time Object Detection Framework for Autonomous Driving—0
Adaptive Data Transport Mechanism for UAV Surveillance Missions in Lossy Environments—0
Edge Preserving and Multi-Scale Contextual Neural Network for Salient Object Detection—0
Edge Wasserstein Distance Loss for Oriented Object Detection—0
Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles—0
P2M-DeTrack: Processing-in-Pixel-in-Memory for Energy-efficient and Real-Time Multi-Object Detection and Tracking—0
2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers—0
P2RBox: Point Prompt Oriented Object Detection with SAM—0
EffCNet: An Efficient CondenseNet for Image Classification on NXP BlueBox—0
Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving—0
Effective Fusion Factor in FPN for Tiny Object Detection—0
RepGN:Object Detection with Relational Proposal Graph Network—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