Papers Object Localization
“Object Localization” 태그가 달린 논문 726편 · 필터 해제
DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion
A typical pipeline for multi-object tracking (MOT) is to use a detector for object localization, and following re-identification (re-ID) for object association. This pipeline is partially motivated by recent progress in …
Multi-Object TrackingObjectobject-detectionObject Detection+2TDAM: Top-Down Attention Module for Contextually Guided Feature Selection in CNNs
Attention modules for Convolutional Neural Networks (CNNs) are an effective method to enhance performance on multiple computer-vision tasks. While existing methods appropriately model channel-, spatial- and self-attentio…
feature selectionImage ClassificationMulti-Label ClassificationObject Localization+2UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language Modeling
We propose UniTAB that Unifies Text And Box outputs for grounded vision-language (VL) modeling. Grounded VL tasks such as grounded captioning require the model to generate a text description and align predicted words wit…
Image CaptioningImage DescriptionLanguage ModelingLanguage Modelling+6Learning to Detect Instance-level Salient Objects Using Complementary Image Labels
Existing salient instance detection (SID) methods typically learn from pixel-level annotated datasets. In this paper, we present the first weakly-supervised approach to the SID problem. Although weak supervision has been…
Boundary DetectionObject LocalizationSaliency DetectionRethinking Drone-Based Search and Rescue with Aerial Person Detection
The visual inspection of aerial drone footage is an integral part of land search and rescue (SAR) operations today. Since this inspection is a slow, tedious and error-prone job for humans, we propose a novel deep learnin…
Data AugmentationHuman DetectionObject LocalizationTransfer LearningSpace-Time Memory Network for Sounding Object Localization in Videos
Leveraging temporal synchronization and association within sight and sound is an essential step towards robust localization of sounding objects. To this end, we propose a space-time memory network for sounding object loc…
Object LocalizationPractical, Fast and Robust Point Cloud Registration for 3D Scene Stitching and Object Localization
3D point cloud registration ranks among the most fundamental problems in remote sensing, photogrammetry, robotics and geometric computer vision. Due to the limited accuracy of 3D feature matching techniques, outliers may…
3D Feature MatchingBenchmarkingObject LocalizationPoint Cloud RegistrationRecognizing Vector Graphics without Rasterization
In this paper, we consider a different data format for images: vector graphics. In contrast to raster graphics which are widely used in image recognition, vector graphics can be scaled up or down into any resolution with…
Graph Neural Networkobject-detectionObject DetectionObject Localization+1SSA: Semantic Structure Aware Inference for Weakly Pixel-Wise Dense Predictions without Cost
The pixel-wise dense prediction tasks based on weakly supervisions currently use Class Attention Maps (CAM) to generate pseudo masks as ground-truth. However, the existing methods typically depend on the painstaking trai…
Object LocalizationSemantic SegmentationWeakly-Supervised Object LocalizationWeakly supervised Semantic Segmentation+1Asynchronous Collaborative Localization by Integrating Spatiotemporal Graph Learning with Model-Based Estimation
Collaborative localization is an essential capability for a team of robots such as connected vehicles to collaboratively estimate object locations from multiple perspectives with reliant cooperation. To enable collaborat…
Graph LearningObjectObject LocalizationState EstimationBoundary Distribution Estimation for Precise Object Detection
In the field of state-of-the-art object detection, the task of object localization is typically accomplished through a dedicated subnet that emphasizes bounding box regression. This subnet traditionally predicts the obje…
Objectobject-detectionObject DetectionObject Localization+2Skeleton-Based Mutually Assisted Interacted Object Localization and Human Action Recognition
Skeleton data carries valuable motion information and is widely explored in human action recognition. However, not only the motion information but also the interaction with the environment provides discriminative cues to…
Action RecognitionObjectObject LocalizationTemporal Action LocalizationVideo Instance Segmentation by Instance Flow Assembly
Instance segmentation is a challenging task aiming at classifying and segmenting all object instances of specific classes. While two-stage box-based methods achieve top performances in the image domain, they cannot easil…
Instance SegmentationObjectObject LocalizationSemantic Segmentation+1Oriented Feature Alignment for Fine-grained Object Recognition in High-Resolution Satellite Imagery
Oriented object detection in remote sensing images has made great progress in recent years. However, most of the current methods only focus on detecting targets, and cannot distinguish fine-grained objects well in comple…
Objectobject-detectionObject DetectionObject Localization+2Online Refinement of Low-level Feature Based Activation Map for Weakly Supervised Object Localization
We present a two-stage learning framework for weakly supervised object localization (WSOL). While most previous efforts rely on high-level feature based CAMs (Class Activation Maps), this paper proposes to localize objec…
ObjectObject LocalizationWeakly-Supervised Object LocalizationFrustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR
Accurate 3D object detection is a key part of the perception module for autonomous vehicles. A better understanding of the objects in 3D facilitates better decision-making and path planning. RGB Cameras and LiDAR are the…
2D Object Detection3D Object DetectionAutonomous VehiclesBirds Eye View Object Detection+5Localizing Infinity-shaped fishes: Sketch-guided object localization in the wild
This work investigates the problem of sketch-guided object localization (SGOL), where human sketches are used as queries to conduct the object localization in natural images. In this cross-modal setting, we first contrib…
Instance SegmentationObjectobject-detectionObject Detection+2F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling
Class Activation Mapping (CAM) methods have recently gained much attention for weakly-supervised object localization (WSOL) tasks. They allow for CNN visualization and interpretation without training on fully annotated i…
Object LocalizationWeakly-Supervised Object LocalizationDAFNe: A One-Stage Anchor-Free Approach for Oriented Object Detection
We present DAFNe, a Dense one-stage Anchor-Free deep Network for oriented object detection. As a one-stage model, it performs bounding box predictions on a dense grid over the input image, being architecturally simpler i…
object-detectionObject DetectionObject LocalizationOne-stage Anchor-free Oriented Object Detection+1Self-Taught Cross-Domain Few-Shot Learning with Weakly Supervised Object Localization and Task-Decomposition
The domain shift between the source and target domain is the main challenge in Cross-Domain Few-Shot Learning (CD-FSL). However, the target domain is absolutely unknown during the training on the source domain, which res…
Cross-Domain Few-Shotcross-domain few-shot learningFew-Shot LearningObject Localization+1