Papers 2D Object Detection
“2D Object Detection” 태그가 달린 논문 222편 · 필터 해제
Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning
Foundation models are increasingly integrated into embodied intelligence systems, but directly assigning them structured prediction tasks requires precise geometric and numerical estimation, where specialized models ofte…
Structured PredictionTrajectory PredictionSemantic Segmentation2D Object DetectionDecoupled Prototype Matching with Vision Foundation Models for Few-Shot Industrial Object Detection
Industrial object detection systems typically rely on large annotated datasets, which are expensive to collect and challenging to maintain in industrial scenarios where the inventory of objects changes frequently. This w…
Few-Shot Object Detection2D Object DetectionPose EstimationIndoor Asset Detection in Large Scale 360° Drone-Captured Imagery via 3D Gaussian Splatting
We present an approach for object-level detection and segmentation of target indoor assets in 3D Gaussian Splatting (3DGS) scenes, reconstructed from 360° drone-captured imagery. We introduce a 3D object codebook that jo…
2D Object DetectionBoxer: Robust Lifting of Open-World 2D Bounding Boxes to 3D
Detecting and localizing objects in space is a fundamental computer vision problem. While much progress has been made to solve 2D object detection, 3D object localization is much less explored and far from solved, especi…
Object Localization2D Object DetectionMonocular 3D Object Position Estimation with VLMs for Human-Robot Interaction
Pre-trained general-purpose Vision-Language Models (VLM) hold the potential to enhance intuitive human-machine interactions due to their rich world knowledge and 2D object detection capabilities. However, VLMs for 3D coo…
2D Object DetectionA Comparative Evaluation of Large Vision-Language Models for 2D Object Detection under SOTIF Conditions
Reliable environmental perception remains one of the main obstacles for safe operation of automated vehicles. Safety of the Intended Functionality (SOTIF) concerns safety risks from perception insufficiencies, particular…
2D Object DetectionMLPerf Automotive
We present MLPerf Automotive, the first standardized public benchmark for evaluating Machine Learning systems that are deployed for AI acceleration in automotive systems. Developed through a collaborative partnership bet…
2D Semantic Segmentation2D Object Detection3D Object DetectionMUSE: Model-based Uncertainty-aware Similarity Estimation for zero-shot 2D Object Detection and Segmentation
In this work, we introduce MUSE (Model-based Uncertainty-aware Similarity Estimation), a training-free framework designed for model-based zero-shot 2D object detection and segmentation. MUSE leverages 2D multi-view templ…
2D Object DetectionImproving Long-Tailed Object Detection with Balanced Group Softmax and Metric Learning
Object detection has been widely explored for class-balanced datasets such as COCO. However, real-world scenarios introduce the challenge of long-tailed distributions, where numerous categories contain only a few instanc…
Long-tailed Object Detection2D Object DetectionMetric LearningRobotic 3D Flower Pose Estimation for Small-Scale Urban Farms
The small scale of urban farms and the commercial availability of low-cost robots (such as the FarmBot) that automate simple tending tasks enable an accessible platform for plant phenotyping. We have used a FarmBot with …
2D Object DetectionPose EstimationPoint CloudsTowards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving
Learning-based autonomous driving systems remain critically vulnerable to adversarial patches, posing serious safety and security risks in their real-world deployment. Black-box attacks, notable for their high attack suc…
2D Object DetectionAutonomous DrivingRethinking Backbone Design for Lightweight 3D Object Detection in LiDAR
Recent advancements in LiDAR-based 3D object detection have significantly accelerated progress toward the realization of fully autonomous driving in real-world environments. Despite achieving high detection performance, …
2D Object Detection3D Object DetectionAutonomous DrivingVisionReasoner: Unified Visual Perception and Reasoning via Reinforcement Learning
Large vision-language models exhibit inherent capabilities to handle diverse visual perception tasks. In this paper, we introduce VisionReasoner, a unified framework capable of reasoning and solving multiple visual perce…
2D Object DetectionObject CountingReasoning SegmentationReferring Expression Segmentation+4GATE3D: Generalized Attention-based Task-synergized Estimation in 3D*
The emerging trend in computer vision emphasizes developing universal models capable of simultaneously addressing multiple diverse tasks. Such universality typically requires joint training across multi-domain datasets t…
2D Object Detection3D Object DetectionAutonomous DrivingMonocular 3D Object Detection+2Safe-Construct: Redefining Construction Safety Violation Recognition as 3D Multi-View Engagement Task
Recognizing safety violations in construction environments is critical yet remains underexplored in computer vision. Existing models predominantly rely on 2D object detection, which fails to capture the complexities of r…
2D Object DetectionObjectobject-detectionObject Detection+1Distributed LLMs and Multimodal Large Language Models: A Survey on Advances, Challenges, and Future Directions
Language models (LMs) are machine learning models designed to predict linguistic patterns by estimating the probability of word sequences based on large-scale datasets, such as text. LMs have a wide range of applications…
2D Object DetectionDistributed ComputingLarge Language ModelMachine Translation+22D Object Detection: A Survey
Object detection is a fundamental task in computer vision, aiming to identify and localize objects of interest within an image. Over the past two decades, the domain has changed profoundly, evolving into an active and fa…
2D Object DetectionObjectobject-detectionObject Detection+2AI-Driven Relocation Tracking in Dynamic Kitchen Environments
As smart homes become more prevalent in daily life, the ability to understand dynamic environments is essential which is increasingly dependent on AI systems. This study focuses on developing an intelligent algorithm whi…
2D Object Detection3D ReconstructionIndoor LocalizationNavigate+3WalnutData: A UAV Remote Sensing Dataset of Green Walnuts and Model Evaluation
The UAV technology is gradually maturing and can provide extremely powerful support for smart agriculture and precise monitoring. Currently, there is no dataset related to green walnuts in the field of agricultural compu…
2D Object DetectionObject DetectionA Diffusion Model and Knowledge Distillation Framework for Robust Coral Detection in Complex Underwater Environments
Coral reefs play a crucial role in marine ecosystems, but their sustainability is increasingly threatened by climate change and human activities. To aid in the protection and monitoring of these ecosystems, developing ad…
2D Object DetectionKnowledge DistillationMambaTransfer Learning