Papers Object Proposal Generation
“Object Proposal Generation” 태그가 달린 논문 55편 · 필터 해제
Multi-Scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation
Aiming at simultaneous detection and segmentation (SDS), we propose a proposal-free framework, which detect and segment object instances via mid-level patches. We design a unified trainable network on patches, which is f…
ObjectObject Proposal GenerationSegmentationSelective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval
Deep convolutional neural network models pre-trained for the ImageNet classification task have been successfully adopted to tasks in other domains, such as texture description and object proposal generation, but these ta…
Image RetrievalObject Proposal GenerationRetrievalSeq-NMS for Video Object Detection
Video object detection is challenging because objects that are easily detected in one frame may be difficult to detect in another frame within the same clip. Recently, there have been major advances for doing object dete…
General ClassificationObjectobject-detectionObject Detection+3Generating Discriminative Object Proposals via Submodular Ranking
A multi-scale greedy-based object proposal generation approach is presented. Based on the multi-scale nature of objects in images, our approach is built on top of a hierarchical segmentation. We first identify the repres…
DiversityImage SegmentationObjectObject Proposal Generation+2SubmodBoxes: Near-Optimal Search for a Set of Diverse Object Proposals
This paper formulates the search for a set of bounding boxes (as needed in object proposal generation) as a monotone submodular maximization problem over the space of all possible bounding boxes in an image. Since the nu…
DiversityObject Proposal GenerationLearning to Combine Mid-Level Cues for Object Proposal Generation
In recent years, region proposals have replaced sliding windows in support of object recognition, offering more discriminating shape and appearance information through improved localization. One powerful approach for ge…
Object Proposal GenerationObject RecognitionSequential Optimization for Efficient High-Quality Object Proposal Generation
We are motivated by the need for a generic object proposal generation algorithm which achieves good balance between object detection recall, proposal localization quality and computational efficiency. We propose a novel …
Computational EfficiencyCPUObjectobject-detection+3Manipulated Object Proposal: A Discriminative Object Extraction and Feature Fusion Framework for First-Person Daily Activity Recognition
Detecting and recognizing objects interacting with humans lie in the center of first-person (egocentric) daily activity recognition. However, due to noisy camera motion and frequent changes in viewpoint and scale, most o…
Action RecognitionActivity RecognitionObjectObject Proposal Generation+1Traditional Saliency Reloaded: A Good Old Model in New Shape
In this paper, we show that the seminal, biologically-inspired saliency model by Itti et al. is still competitive with current state-of-the-art methods for salient object segmentation if some important adaptions are…
ObjectObject Proposal GenerationSegmentationSemantic SegmentationObject Detection by Labeling Superpixels
Object detection is always conducted by object proposal generation and classification sequentially. This paper handles object detection in a superpixel oriented manner instead of the proposal oriented. Specially, this pa…
General ClassificationObjectobject-detectionObject Detection+2Convolutional Channel Features
Deep learning methods are powerful tools but often suffer from expensive computation and limited flexibility. An alternative is to combine light-weight models with deep representations. As successful cases exist in sever…
Edge DetectionFace DetectionObject Proposal GenerationPedestrian DetectionHigh-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and its Applications to High-Level Vision
Most of the current boundary detection systems rely exclusively on low-level features, such as color and texture. However, perception studies suggest that humans employ object-level reasoning when judging if a particular…
Boundary DetectionObjectObject Proposal GenerationSemantic Segmentation+1Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation
We propose a unified approach for bottom-up hierarchical image segmentation and object proposal generation for recognition, called Multiscale Combinatorial Grouping (MCG). For this purpose, we first develop a fast normal…
Image SegmentationObjectObject Proposal GenerationSemantic SegmentationSalient Object Detection: A Survey
Detecting and segmenting salient objects from natural scenes, often referred to as salient object detection, has attracted great interest in computer vision. While many models have been proposed and several applications …
Objectobject-detectionObject DetectionObject Proposal Generation+4Object Proposal Generation using Two-Stage Cascade SVMs
Object proposal algorithms have shown great promise as a first step for object recognition and detection. Good object proposal generation algorithms require high object recall rate as well as low computational cost, beca…
Computational EfficiencyObjectObject Proposal GenerationObject Recognition+2