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Object Detection

Papers

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Showing 4501–4550 of 10957 papers

TitleStatusHype
BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks—0
MIC: Masked Image Consistency for Context-Enhanced Domain AdaptationCode2
D2DF2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation—0
PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain GeneralizationCode1
MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionCode1
Concealed Object Detection for Passive Millimeter-Wave Security Imaging Based on Task-Aligned Detection Transformer—0
Hyperbolic Contrastive Learning for Visual Representations beyond ObjectsCode1
Soft Labels for Rapid Satellite Object Detection—0
BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object DetectionCode1
ResFormer: Scaling ViTs with Multi-Resolution TrainingCode1
A Dataset with Multibeam Forward-Looking Sonar for Underwater Object Detection—0
Motion Informed Object Detection of Small Insects in Time-lapse Camera Recordings—0
On Utilizing Relationships for Transferable Few-Shot Fine-Grained Object Detection—0
GRiT: A Generative Region-to-text Transformer for Object UnderstandingCode2
Uncertainty-Aware Contour Proposal Networks for Cell Segmentation in Multi-Modality High-Resolution Microscopy ImagesCode1
How to Train an Accurate and Efficient Object Detection Model on Any Dataset—0
BEVUDA: Multi-geometric Space Alignments for Domain Adaptive BEV 3D Object Detection—0
Iterative Scene Graph Generation with Generative Transformers—0
SafeSpace MFNet: Precise and Efficient MultiFeature Drone Detection NetworkCode0
AIO-P: Expanding Neural Performance Predictors Beyond Image ClassificationCode1
Attention-Based Depth Distillation with 3D-Aware Positional Encoding for Monocular 3D Object DetectionCode0
Analysis of Training Object Detection Models with Synthetic DataCode0
Superpoint Transformer for 3D Scene Instance SegmentationCode1
DQ-DETR: Dual Query Detection Transformer for Phrase Extraction and GroundingCode1
Object Permanence in Object Detection Leveraging Temporal Priors at Inference Time—0
Learning Object-Language Alignments for Open-Vocabulary Object DetectionCode1
Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection—0
3DPPE: 3D Point Positional Encoding for Multi-Camera 3D Object Detection TransformersCode1
Multi-Modal Few-Shot Temporal Action DetectionCode1
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image FusionCode2
Panoramic Video Salient Object Detection with Ambisonic Audio Guidance—0
Self-Supervised Surgical Instrument 3D Reconstruction from a Single Camera Image—0
Chart-RCNN: Efficient Line Chart Data Extraction from Camera Images—0
MAEDAY: MAE for few and zero shot AnomalY-DetectionCode1
CAD2Render: A Modular Toolkit for GPU-accelerated Photorealistic Synthetic Data Generation for the Manufacturing IndustryCode1
Language-Assisted 3D Feature Learning for Semantic Scene UnderstandingCode1
Degenerate Swin to Win: Plain Window-based Transformer without Sophisticated Operations—0
Deep Learning Training Procedure Augmentations—0
DATE: Dual Assignment for End-to-End Fully Convolutional Object DetectionCode1
Combating noisy labels in object detection datasetsCode0
Roboflow 100: A Rich, Multi-Domain Object Detection BenchmarkCode2
3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object DetectionCode1
Towards computer vision technologies: Semi-automated reading of automated utility meters—0
Object Detection in Foggy Scenes by Embedding Depth and Reconstruction into Domain AdaptationCode1
Few-shot Object Detection with Refined Contrastive Learning—0
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results—0
DAMO-YOLO : A Report on Real-Time Object Detection DesignCode4
How do Cross-View and Cross-Modal Alignment Affect Representations in Contrastive Learning?—0
Rega-Net:Retina Gabor Attention for Deep Convolutional Neural Networks—0
Sparse2Dense: Learning to Densify 3D Features for 3D Object DetectionCode1
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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