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Object Detection

Papers

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Showing 7601–7650 of 10957 papers

TitleStatusHype
DeLR: Active Learning for Detection with Decoupled Localization and Recognition Query—0
PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS with Relationship Recovery—0
Delegating Custom Object Detection Tasks to a Universal Classification System—0
Large receptive field strategy and important feature extraction strategy in 3D object detection—0
Large Model Based Referring Camouflaged Object Detection—0
Large Language Model Guided Progressive Feature Alignment for Multimodal UAV Object Detection—0
BadODD: Bangladeshi Autonomous Driving Object Detection Dataset—0
Large-Field Contextual Feature Learning for Glass Detection—0
Large Batch Optimization for Object Detection: Training COCO in 12 Minutes—0
Pursuing Better Decision Boundaries for Long-Tailed Object Detection via Category Information Amount—0
Pushing the Limits of Asynchronous Graph-based Object Detection with Event Cameras—0
Pushing the Limits of Radiology with Joint Modeling of Visual and Textual Information—0
LargeAD: Large-Scale Cross-Sensor Data Pretraining for Autonomous Driving—0
PVAFN: Point-Voxel Attention Fusion Network with Multi-Pooling Enhancing for 3D Object Detection—0
Degenerate Swin to Win: Plain Window-based Transformer without Sophisticated Operations—0
BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection—0
PVGNet: A Bottom-Up One-Stage 3D Object Detector With Integrated Multi-Level Features—0
A multilayer backpropagation saliency detection algorithm and its applications—0
LapNet : Automatic Balanced Loss and Optimal Assignment for Real-Time Dense Object Detection—0
PV-RCNN++: Semantical Point-Voxel Feature Interaction for 3D Object Detection—0
PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection / 3D Tracking / Domain Adaptation of Waymo Open Dataset Challenges—0
PV-SSD: A Multi-Modal Point Cloud Feature Fusion Method for Projection Features and Variable Receptive Field Voxel Features—0
Language Modulated Detection and Detection Modulated Language Grounding in 2D and 3D Scenes—0
Deformably-Scaled Transposed Convolution—0
Language Models as Zero-Shot Trajectory Generators—0
Language-guided Learning for Object Detection Tackling Multiple Variations in Aerial Images—0
Language-Guided 3D Object Detection in Point Cloud for Autonomous Driving—0
Backtracking Spatial Pyramid Pooling (SPP)-based Image Classifier for Weakly Supervised Top-down Salient Object Detection—0
Language-aware Multiple Datasets Detection Pretraining for DETRs—0
Deformable Part-based Fully Convolutional Network for Object Detection—0
Language-Assisted 3D Scene Understanding—0
Deformable One-Dimensional Object Detection for Routing and Manipulation—0
LangNav: Language as a Perceptual Representation for Navigation—0
LanePtrNet: Revisiting Lane Detection as Point Voting and Grouping on Curves—0
Deformable Filter Convolution for Point Cloud Reasoning—0
Backtracking ScSPM Image Classifier for Weakly Supervised Top-Down Saliency—0
A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects—0
ADAM: Autonomous Discovery and Annotation Model using LLMs for Context-Aware Annotations—0
LAM-YOLO: Drones-based Small Object Detection on Lighting-Occlusion Attention Mechanism YOLO—0
LAFFNet: A Lightweight Adaptive Feature Fusion Network for Underwater Image Enhancement—0
Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection—0
QuadBEV: An Efficient Quadruple-Task Perception Framework via Bird's-Eye-View Representation—0
Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty—0
QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving—0
Deformable Capsules for Object Detection—0
Quality-Aware Multimodal Saliency Detection via Deep Reinforcement Learning—0
Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation—0
Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing—0
Labeling Indoor Scenes with Fusion of Out-of-the-Box Perception Models—0
DefMamba: Deformable Visual State Space Model—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