SOTAVerified

Object Detection

Papers

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Showing 8601–8650 of 10957 papers

TitleStatusHype
Reinforcement Learning for Adaptive Video Compressive Sensing—0
OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images—0
Deployment and Analysis of Instance Segmentation Algorithm for In-field Grade Estimation of Sweetpotatoes—0
Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras—0
Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization—0
Deployment Prior Injection for Run-time Calibratable Object Detection—0
Reinforcement Learning for Improving Object Detection—0
Depth-aware Fusion Method based on Image and 4D Radar Spectrum for 3D Object Detection—0
Depth Coefficients for Depth Completion—0
OODTE: A Differential Testing Engine for the ONNX Optimizer—0
Exploring Depth Contribution for Camouflaged Object Detection—0
OPA-3D: Occlusion-Aware Pixel-Wise Aggregation for Monocular 3D Object Detection—0
Depth-discriminative Metric Learning for Monocular 3D Object Detection—0
OPAD: An Optimized Policy-based Active Learning Framework for Document Content Analysis—0
DepthFusion: Depth-Aware Hybrid Feature Fusion for LiDAR-Camera 3D Object Detection—0
Depth-guided Texture Diffusion for Image Semantic Segmentation—0
Depth Over RGB: Automatic Evaluation of Open Surgery Skills Using Depth Camera—0
Reinforcement Learning for Visual Object Detection—0
3D-DETNet: a Single Stage Video-Based Vehicle Detector—0
3D Convolution Neural Network based Person Identification using Gait cycles—0
OpenNet: Incremental Learning for Autonomous Driving Object Detection with Balanced Loss—0
Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread—0
Depthwise Separable Convolutions with Deep Residual Convolutions—0
Deriving star cluster parameters with convolutional neural networks. II. Extinction and cluster/background classification—0
3D-COCO: extension of MS-COCO dataset for image detection and 3D reconstruction modules—0
RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud—0
OpenRSD: Towards Open-prompts for Object Detection in Remote Sensing Images—0
Describing Video Contents in Natural Language—0
Design and development of opto-neural processors for simulation of neural networks trained in image detection for potential implementation in hybrid robotics—0
Designing Extremely Memory-Efficient CNNs for On-device Vision Tasks—0
Designing the Next Generation of Intelligent Personal Robotic Assistants for the Physically Impaired—0
Simulating the gravity in S11 parameters and friis transmission equation—0
Design of Real-time Semantic Segmentation Decoder for Automated Driving—0
Design of Sensor Fusion Driver Assistance System for Active Pedestrian Safety—0
DESTR: Object Detection With Split Transformer—0
Open-set 3D Object Detection—0
DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection—0
DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment—0
DetCLIPv3: Towards Versatile Generative Open-vocabulary Object Detection—0
HD-OOD3D: Supervised and Unsupervised Out-of-Distribution object detection in LiDAR data—0
DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception—0
Detect2Interact: Localizing Object Key Field in Visual Question Answering (VQA) with LLMs—0
Detect2Rank : Combining Object Detectors Using Learning to Rank—0
Open-Set Object Detection By Aligning Known Class Representations—0
DetectFusion: Detecting and Segmenting Both Known and Unknown Dynamic Objects in Real-time SLAM—0
Detect Globally, Refine Locally: A Novel Approach to Saliency Detection—0
Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes—0
Detecting Abnormal Health Conditions in Smart Home Using a Drone—0
Detecting Activities of Daily Living in Egocentric Video to Contextualize Hand Use at Home in Outpatient Neurorehabilitation Settings—0
Detecting and Aligning Faces by Image Retrieval—0
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All datasetsCOCO test-devCOCO minivalCOCO-OCOCO 2017 valPASCAL VOC 2007COCO 2017CrowdHuman (full body)CPPE-5LVIS v1.0 valManga109-s 15testPKU-DDD17-CarWaymo 2D detection all_ns f0val

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