Papers Object Proposal Generation
“Object Proposal Generation” 태그가 달린 논문 55편 · 필터 해제
Relation Graph Network for 3D Object Detection in Point Clouds
Convolutional Neural Networks (CNNs) have emerged as a powerful strategy for most object detection tasks on 2D images. However, their power has not been fully realised for detecting 3D objects in point clouds directly wi…
3D Object DetectionObjectobject-detectionObject Detection+2PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
In this paper, we propose PointRCNN for 3D object detection from raw point cloud. The whole framework is composed of two stages: stage-1 for the bottom-up 3D proposal generation and stage-2 for refining proposals in the …
3D Object Detectionobject-detectionObject DetectionObject Proposal Generation+1AttentionMask: Attentive, Efficient Object Proposal Generation Focusing on Small Objects
We propose a novel approach for class-agnostic object proposal generation, which is efficient and especially well-suited to detect small objects. Efficiency is achieved by scale-specific objectness attention maps which f…
Object Proposal GenerationDeep Learning for Generic Object Detection: A Survey
Object detection, one of the most fundamental and challenging problems in computer vision, seeks to locate object instances from a large number of predefined categories in natural images. Deep learning techniques have em…
Deep LearningObjectobject-detectionObject Detection+2Semantic Edge Detection with Diverse Deep Supervision
Semantic edge detection (SED), which aims at jointly extracting edges as well as their category information, has far-reaching applications in domains such as semantic segmentation, object proposal generation, and object …
Edge DetectionObject Proposal GenerationObject RecognitionSemantic SegmentationA New Target-specific Object Proposal Generation Method for Visual Tracking
Object proposal generation methods have been widely applied to many computer vision tasks. However, existing object proposal generation methods often suffer from the problems of motion blur, low contrast, deformation, et…
ObjectObject Proposal GenerationVisual TrackingObject cosegmentation using deep Siamese network
Object cosegmentation addresses the problem of discovering similar objects from multiple images and segmenting them as foreground simultaneously. In this paper, we propose a novel end-to-end pipeline to segment the simil…
ObjectObject Proposal GenerationSemantic SegmentationDeep Crisp Boundaries: From Boundaries to Higher-level Tasks
Edge detection has made significant progress with the help of deep Convolutional Networks (ConvNet). These ConvNet based edge detectors have approached human level performance on standard benchmarks. We provide a systema…
Edge DetectionObject Proposal GenerationOptical Flow EstimationSemantic SegmentationRecurrent Pixel Embedding for Instance Grouping
We introduce a differentiable, end-to-end trainable framework for solving pixel-level grouping problems such as instance segmentation consisting of two novel components. First, we regress pixels into a hyper-spherical em…
Boundary DetectionClusteringInstance SegmentationObject Proposal Generation+2SalProp: Salient object proposals via aggregated edge cues
In this paper, we propose a novel object proposal generation scheme by formulating a graph-based salient edge classification framework that utilizes the edge context. In the proposed method, we construct a Bayesian proba…
ClassificationEdge ClassificationGeneral ClassificationObject+3CASENet: Deep Category-Aware Semantic Edge Detection
Boundary and edge cues are highly beneficial in improving a wide variety of vision tasks such as semantic segmentation, object recognition, stereo, and object proposal generation. Recently, the problem of edge detection …
Edge DetectionObject Proposal GenerationSemantic SegmentationObject Discovery via Cohesion Measurement
Color and intensity are two important components in an image. Usually, groups of image pixels, which are similar in color or intensity, are an informative representation for an object. They are therefore particularly sui…
ClusteringImage SegmentationObjectObject Discovery+3ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond
Motivated by product detection in supermarkets, this paper studies the problem of object proposal generation in supermarket images and other natural images. We argue that estimation of object scales in images is helpful …
ObjectObject Proposal GenerationObject proposal generation applying the distance dependent Chinese restaurant process
In application domains such as robotics, it is useful to represent the uncertainty related to the robot's belief about the state of its environment. Algorithms that only yield a single "best guess" as a result are not su…
Bayesian InferenceObjectObject DiscoveryObject Proposal GenerationSemantic Instance Segmentation via Deep Metric Learning
We propose a new method for semantic instance segmentation, by first computing how likely two pixels are to belong to the same object, and then by grouping similar pixels together. Our similarity metric is based on a dee…
Instance SegmentationMetric LearningObject Proposal GenerationSegmentation+1Boundary-aware Instance Segmentation
We address the problem of instance-level semantic segmentation, which aims at jointly detecting, segmenting and classifying every individual object in an image. In this context, existing methods typically propose candida…
Instance SegmentationObjectObject Proposal GenerationSegmentation+1Learning to Segment Object Candidates via Recursive Neural Networks
To avoid the exhaustive search over locations and scales, current state-of-the-art object detection systems usually involve a crucial component generating a batch of candidate object proposals from images. In this paper,…
Objectobject-detectionObject DetectionObject Proposal GenerationMulti-View 3D Object Detection Network for Autonomous Driving
This paper aims at high-accuracy 3D object detection in autonomous driving scenario. We propose Multi-View 3D networks (MV3D), a sensory-fusion framework that takes both LIDAR point cloud and RGB images as input and pred…
3D Object DetectionAutonomous DrivingObjectobject-detection+2Multi-stage Object Detection with Group Recursive Learning
Most of existing detection pipelines treat object proposals independently and predict bounding box locations and classification scores over them separately. However, the important semantic and spatial layout correlations…
Objectobject-detectionObject DetectionObject Proposal Generation+3Monocular 3D Object Detection for Autonomous Driving
The goal of this paper is to perform 3D object detection in single monocular images in the domain of autonomous driving. Our method first aims to generate a set of candidate class-specific object proposals, which are th…
3D Object DetectionAutonomous DrivingMonocular 3D Object DetectionObject+5