Papers Object Localization
“Object Localization” 태그가 달린 논문 726편 · 필터 해제
Evaluation and Comparison of Visual Language Models for Transportation Engineering Problems
Recent developments in vision language models (VLM) have shown great potential for diverse applications related to image understanding. In this study, we have explored state-of-the-art VLM models for vision-based transpo…
image-classificationImage Classificationobject-detectionObject Detection+1Multi-scale Multi-instance Visual Sound Localization and Segmentation
Visual sound localization is a typical and challenging problem that predicts the location of objects corresponding to the sound source in a video. Previous methods mainly used the audio-visual association between global …
Object LocalizationLanguage-guided Scale-aware MedSegmentor for Lesion Segmentation in Medical Imaging
In clinical practice, segmenting specific lesions based on the needs of physicians can significantly enhance diagnostic accuracy and treatment efficiency. However, conventional lesion segmentation models lack the flexibi…
DiagnosticImage SegmentationLanguage ModelingLanguage Modelling+5Optimal Weight Scheme for Fusion-Assisted Cooperative Multi-Monostatic Object Localization in 6G Networks
Cooperative multi-monostatic sensing enables accurate positioning of passive targets by combining the sensed environment of multiple base stations (BS). In this work, we propose a novel fusion algorithm that optimally fi…
Object LocalizationMulti-Beam Object-Localization for Millimeter-Wave ISAC-Aided Connected Autonomous Vehicles
Millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems capable of integrated sensing and communication (ISAC) constitute a key technology for connected autonomous vehicles (CAVs). In this context, we prop…
Autonomous VehiclesIntegrated sensing and communicationISACObject LocalizationMambaEVT: Event Stream based Visual Object Tracking using State Space Model
Event camera-based visual tracking has drawn more and more attention in recent years due to the unique imaging principle and advantages of low energy consumption, high dynamic range, and dense temporal resolution. Curren…
MambaObject LocalizationObject TrackingVisual Object Tracking+1Stimulating Imagination: Towards General-purpose Object Rearrangement
General-purpose object placement is a fundamental capability of an intelligent generalist robot, i.e., being capable of rearranging objects following human instructions even in novel environments. To achieve this, we bre…
ObjectObject LocalizationObject RearrangementPose EstimationCategorical Knowledge Fused Recognition: Fusing Hierarchical Knowledge with Image Classification through Aligning and Deep Metric Learning
Image classification is a fundamental computer vision task and an important baseline for deep metric learning. In decades efforts have been made on enhancing image classification accuracy by using deep learning models wh…
Classificationimage-classificationImage ClassificationMetric Learning+3A Model Generalization Study in Localizing Indoor Cows with COw LOcalization (COLO) dataset
Precision livestock farming (PLF) increasingly relies on advanced object localization techniques to monitor livestock health and optimize resource management. This study investigates the generalization capabilities of YO…
Data AugmentationObject LocalizationBIV-Priv-Seg: Locating Private Content in Images Taken by People With Visual Impairments
Individuals who are blind or have low vision (BLV) are at a heightened risk of sharing private information if they share photographs they have taken. To facilitate developing technologies that can help them preserve priv…
Object LocalizationDenseTrack: Drone-based Crowd Tracking via Density-aware Motion-appearance Synergy
Drone-based crowd tracking faces difficulties in accurately identifying and monitoring objects from an aerial perspective, largely due to their small size and close proximity to each other, which complicates both localiz…
Crowd CountingLanguage ModelingLanguage ModellingObject LocalizationPEEKABOO: Hiding parts of an image for unsupervised object localization
Localizing objects in an unsupervised manner poses significant challenges due to the absence of key visual information such as the appearance, type and number of objects, as well as the lack of labeled object classes typ…
Objectobject-detectionObject DetectionObject Discovery+4Evaluating and Enhancing Trustworthiness of LLMs in Perception Tasks
Today's advanced driver assistance systems (ADAS), like adaptive cruise control or rear collision warning, are finding broader adoption across vehicle classes. Integrating such advanced, multimodal Large Language Models …
Hallucinationobject-detectionObject DetectionObject Localization+1Global-Local Collaborative Inference with LLM for Lidar-Based Open-Vocabulary Detection
Open-Vocabulary Detection (OVD) is the task of detecting all interesting objects in a given scene without predefined object classes. Extensive work has been done to deal with the OVD for 2D RGB images, but the exploratio…
Collaborative InferenceLanguage ModellingLarge Language ModelObject+1Leveraging Transformers for Weakly Supervised Object Localization in Unconstrained Videos
Weakly-Supervised Video Object Localization (WSVOL) involves localizing an object in videos using only video-level labels, also referred to as tags. State-of-the-art WSVOL methods like Temporal CAM (TCAM) rely on class a…
Object LocalizationWeakly-Supervised Object LocalizationALINA: Advanced Line Identification and Notation Algorithm
Labels are the cornerstone of supervised machine learning algorithms. Most visual recognition methods are fully supervised, using bounding boxes or pixel-wise segmentations for object localization. Traditional labeling m…
Lane LabelingObject LocalizationVisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks
We present VisionLLM v2, an end-to-end generalist multimodal large model (MLLM) that unifies visual perception, understanding, and generation within a single framework. Unlike traditional MLLMs limited to text output, Vi…
Image GenerationLanguage ModelingLanguage ModellingLarge Language Model+6FlexLoc: Conditional Neural Networks for Zero-Shot Sensor Perspective Invariance in Object Localization with Distributed Multimodal Sensors
Localization is a critical technology for various applications ranging from navigation and surveillance to assisted living. Localization systems typically fuse information from sensors viewing the scene from different pe…
Object LocalizationLeveraging Activations for Superpixel Explanations
Saliency methods have become standard in the explanation toolkit of deep neural networks. Recent developments specific to image classifiers have investigated region-based explanations with either new methods or by adapti…
Object LocalizationSuperpixelsWeakly-Supervised Object LocalizationDeep Learning Innovations for Underwater Waste Detection: An In-Depth Analysis
Addressing the issue of submerged underwater trash is crucial for safeguarding aquatic ecosystems and preserving marine life. While identifying debris present on the surface of water bodies is straightforward, assessing …
Object Localization