Papers Object Localization
“Object Localization” 태그가 달린 논문 726편 · 필터 해제
Hand-Priming in Object Localization for Assistive Egocentric Vision
Egocentric vision holds great promises for increasing access to visual information and improving the quality of life for people with visual impairments, with object recognition being one of the daily challenges for this …
Hand SegmentationMulti-Task LearningObjectObject Localization+1Rethinking the Route Towards Weakly Supervised Object Localization
Weakly supervised object localization (WSOL) aims to localize objects with only image-level labels. Previous methods often try to utilize feature maps and classification weights to localize objects using image level anno…
General ClassificationObjectObject LocalizationWeakly-Supervised Object LocalizationUnderstanding the effects of artifacts on automated polyp detection and incorporating that knowledge via learning without forgetting
Survival rates for colorectal cancer are higher when polyps are detected at an early stage and can be removed before they develop into malignant tumors. Automated polyp detection, which is dominated by deep learning base…
Object LocalizationEvaluating Weakly Supervised Object Localization Methods Right
Weakly-supervised object localization (WSOL) has gained popularity over the last years for its promise to train localization models with only image-level labels. Since the seminal WSOL work of class activation mapping (C…
Few-Shot LearningModel SelectionObjectObject Localization+1A Markerless Deep Learning-based 6 Degrees of Freedom PoseEstimation for with Mobile Robots using RGB Data
Augmented Reality has been subject to various integration efforts within industries due to its ability to enhance human machine interaction and understanding. Neural networks have achieved remarkable results in areas of …
Data VisualizationObject LocalizationExtending Class Activation Mapping Using Gaussian Receptive Field
This paper addresses the visualization task of deep learning models. To improve Class Activation Mapping (CAM) based visualization method, we offer two options. First, we propose Gaussian upsampling, an improved upsampli…
Deep LearningImage ClassificationInterpretable Machine LearningObject Localization+1Deep Snake for Real-Time Instance Segmentation
This paper introduces a novel contour-based approach named deep snake for real-time instance segmentation. Unlike some recent methods that directly regress the coordinates of the object boundary points from an image, dee…
GPUInstance SegmentationObjectObject Localization+3ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language
We introduce the task of 3D object localization in RGB-D scans using natural language descriptions. As input, we assume a point cloud of a scanned 3D scene along with a free-form description of a specified target object.…
ObjectObject LocalizationregressionSentence+1Convolutional STN for Weakly Supervised Object Localization
Weakly supervised object localization is a challenging task in which the object of interest should be localized while learning its appearance. State-of-the-art methods recycle the architecture of a standard CNN by using …
ObjectObject LocalizationWeakly-Supervised Object LocalizationIENet: Interacting Embranchment One Stage Anchor Free Detector for Orientation Aerial Object Detection
Object detection in aerial images is a challenging task due to the lack of visible features and variant orientation of objects. Significant progress has been made recently for predicting targets from aerial images with h…
Objectobject-detectionObject DetectionObject Detection In Aerial Images+3Attributional Robustness Training using Input-Gradient Spatial Alignment
Interpretability is an emerging area of research in trustworthy machine learning. Safe deployment of machine learning system mandates that the prediction and its explanation be reliable and robust. Recently, it has been …
BIG-bench Machine LearningObject LocalizationTripletWeakly-Supervised Object LocalizationSub-frame Appearance and 6D Pose Estimation of Fast Moving Objects
We propose a novel method that tracks fast moving objects, mainly non-uniform spherical, in full 6 degrees of freedom, estimating simultaneously their 3D motion trajectory, 3D pose and object appearance changes with a ti…
6D Pose EstimationDeblurringImage MattingObject Localization+3Deep Mixture Density Network for Probabilistic Object Detection
Mistakes/uncertainties in object detection could lead to catastrophes when deploying robots in the real world. In this paper, we measure the uncertainties of object localization to minimize this kind of risk. Uncertainti…
Objectobject-detectionObject DetectionObject LocalizationImprove CAM with Auto-adapted Segmentation and Co-supervised Augmentation
Weakly Supervised Object Localization (WSOL) methods generate both classification and localization results by learning from only image category labels. Previous methods usually utilize class activation map (CAM) to obtai…
ObjectObject LocalizationWeakly-Supervised Object LocalizationSelf-supervised Moving Vehicle Tracking with Stereo Sound
Humans are able to localize objects in the environment using both visual and auditory cues, integrating information from multiple modalities into a common reference frame. We introduce a system that can leverage unlabele…
Object Localizationvehicle detectionVisual LocalizationTowards Best Practice in Explaining Neural Network Decisions with LRP
Within the last decade, neural network based predictors have demonstrated impressive - and at times super-human - capabilities. This performance is often paid for with an intransparent prediction process and thus has spa…
Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)object-detectionObject Detection+1Deep Contextual Attention for Human-Object Interaction Detection
Human-object interaction detection is an important and relatively new class of visual relationship detection tasks, essential for deeper scene understanding. Most existing approaches decompose the problem into object loc…
Human-Object Interaction DetectionObjectObject LocalizationRelationship Detection+2Combinational Class Activation Maps for Weakly Supervised Object Localization
Weakly supervised object localization has recently attracted attention since it aims to identify both class labels and locations of objects by using image-level labels. Most previous methods utilize the activation map co…
ObjectObject LocalizationWeakly-Supervised Object LocalizationExplaining image classifiers by removing input features using generative models
Perturbation-based explanation methods often measure the contribution of an input feature to an image classifier's outputs by heuristically removing it via e.g. blurring, adding noise, or graying out, which often produce…
counterfactualObject LocalizationAdaptively Denoising Proposal Collection for Weakly Supervised Object Localization
In this paper, we address the problem of weakly supervised object localization (WSL), which trains a detection network on the dataset with only image-level annotations. The proposed approach is built on the observation t…
DenoisingMultiple Instance LearningObjectObject Localization+1