Papers Object Localization
“Object Localization” 태그가 달린 논문 726편 · 필터 해제
PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation
Comprehensive modeling of the surrounding 3D world is key to the success of autonomous driving. However, existing perception tasks like object detection, road structure segmentation, depth & elevation estimation, and ope…
3D Panoptic SegmentationAutonomous Drivingobject-detectionObject Detection+53-Dimensional Sonic Phase-invariant Echo Localization
Parallax and Time-of-Flight (ToF) are often regarded as complementary in robotic vision where various light and weather conditions remain challenges for advanced camera-based 3-Dimensional (3-D) reconstruction. To this e…
Object LocalizationA Novel Confidence Induced Class Activation Mapping for MRI Brain Tumor Segmentation
Magnetic resonance imaging (MRI) is a commonly used technique for brain tumor segmentation, which is critical for evaluating patients and planning treatment. To make the labeling process less laborious and dependent on e…
Brain Tumor SegmentationObject LocalizationSegmentationSemantic Segmentation+3NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization
Monocular 3D object localization in driving scenes is a crucial task, but challenging due to its ill-posed nature. Estimating 3D coordinates for each pixel on the object surface holds great potential as it provides dense…
Monocular 3D Object LocalizationObjectObject LocalizationLearning high-level visual representations from a child's perspective without strong inductive biases
Young children develop sophisticated internal models of the world based on their visual experience. Can such models be learned from a child's visual experience without strong inductive biases? To investigate this, we tra…
ObjectObject LocalizationSelf-Supervised LearningCounterfactual Co-occurring Learning for Bias Mitigation in Weakly-supervised Object Localization
Contemporary weakly-supervised object localization (WSOL) methods have primarily focused on addressing the challenge of localizing the most discriminative region while largely overlooking the relatively less explored iss…
AttributecounterfactualObject LocalizationWeakly-Supervised Object LocalizationProbing the Role of Positional Information in Vision-Language Models
In most Vision-Language models (VL), the understanding of the image structure is enabled by injecting the position information (PI) about objects in the image. In our case study of LXMERT, a state-of-the-art VL model, we…
Contrastive LearningImage-text matchingObject LocalizationPosition+3A Systematic Study on Object Recognition Using Millimeter-wave Radar
Due to its light and weather-independent sensing, millimeter-wave (MMW) radar is essential in smart environments. Intelligent vehicle systems and industry-grade MMW radars have integrated such capabilities. Industry-grad…
ObjectObject LocalizationObject RecognitionAV-SAM: Segment Anything Model Meets Audio-Visual Localization and Segmentation
Segment Anything Model (SAM) has recently shown its powerful effectiveness in visual segmentation tasks. However, there is less exploration concerning how SAM works on audio-visual tasks, such as visual sound localizatio…
DecoderObject LocalizationSegmentationVisual LocalizationOpen-World Weakly-Supervised Object Localization
While remarkable success has been achieved in weakly-supervised object localization (WSOL), current frameworks are not capable of locating objects of novel categories in open-world settings. To address this issue, we are…
ObjectObject LocalizationRepresentation LearningWeakly-Supervised Object LocalizationLearning to search for and detect objects in foveal images using deep learning
The human visual system processes images with varied degrees of resolution, with the fovea, a small portion of the retina, capturing the highest acuity region, which gradually declines toward the field of view's peripher…
Object LocalizationTransfer LearningWildRefer: 3D Object Localization in Large-scale Dynamic Scenes with Multi-modal Visual Data and Natural Language
We introduce the task of 3D visual grounding in large-scale dynamic scenes based on natural linguistic descriptions and online captured multi-modal visual data, including 2D images and 3D LiDAR point clouds. We present a…
3D visual groundingAutonomous DrivingObject LocalizationVisual GroundingMOST: Multiple Object localization with Self-supervised Transformers for object discovery
We tackle the challenging task of unsupervised object localization in this work. Recently, transformers trained with self-supervised learning have been shown to exhibit object localization properties without being traine…
Objectobject-detectionObject DetectionObject Discovery+5Sketch-based Video Object Localization
We introduce Sketch-based Video Object Localization (SVOL), a new task aimed at localizing spatio-temporal object boxes in video queried by the input sketch. We first outline the challenges in the SVOL task and build the…
ObjectObject Localizationset matchingTrade-offs in Fine-tuned Diffusion Models Between Accuracy and Interpretability
Recent advancements in diffusion models have significantly impacted the trajectory of generative machine learning research, with many adopting the strategy of fine-tuning pre-trained models using domain-specific text-to-…
Conditional Image GenerationImage GenerationObject LocalizationPhrase GroundingFew-shot Geometry-Aware Keypoint Localization
Supervised keypoint localization methods rely on large manually labeled image datasets, where objects can deform, articulate, or occlude. However, creating such large keypoint labels is time-consuming and costly, and is …
3D geometryObject LocalizationWhy is plausibility surprisingly problematic as an XAI criterion?
Explainable artificial intelligence (XAI) is motivated by the problem of making AI predictions understandable, transparent, and responsible, as AI becomes increasingly impactful in society and high-stakes domains. The ev…
Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)Feature CorrelationObject LocalizationAudio-Visual Grouping Network for Sound Localization from Mixtures
Sound source localization is a typical and challenging task that predicts the location of sound sources in a video. Previous single-source methods mainly used the audio-visual association as clues to localize sounding ob…
Object LocalizationSound Source LocalizationCORA: Adapting CLIP for Open-Vocabulary Detection with Region Prompting and Anchor Pre-Matching
Open-vocabulary detection (OVD) is an object detection task aiming at detecting objects from novel categories beyond the base categories on which the detector is trained. Recent OVD methods rely on large-scale visual-lan…
Described Object Detectionobject-detectionObject DetectionObject Localization+1Egocentric Audio-Visual Object Localization
Humans naturally perceive surrounding scenes by unifying sound and sight in a first-person view. Likewise, machines are advanced to approach human intelligence by learning with multisensory inputs from an egocentric pers…
ObjectObject Localization