Papers Large-Scale Person Re-Identification
“Large-Scale Person Re-Identification” 태그가 달린 논문 13편 · 필터 해제
The Self-Optimal-Transport Feature Transform
The Self-Optimal-Transport (SOT) feature transform is designed to upgrade the set of features of a data instance to facilitate downstream matching or grouping related tasks. The transformed set encodes a rich representat…
Few-Shot Image ClassificationLarge-Scale Person Re-IdentificationPerson Re-IdentificationProgressive Bilateral-Context Driven Model for Post-Processing Person Re-Identification
Most existing person re-identification methods compute pairwise similarity by extracting robust visual features and learning the discriminative metric. Owing to visual ambiguities, these content-based methods that determ…
Large-Scale Person Re-IdentificationPerson Re-IdentificationSurpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification
Person re-identification has seen significant advancement in recent years. However, the ability of learned models to generalize to unknown target domains still remains limited. One possible reason for this is the lack of…
Domain GeneralizationGeneralizable Person Re-identificationLarge-Scale Person Re-IdentificationPerson Re-IdentificationOcclusion-Robust Online Multi-Object Visual Tracking using a GM-PHD Filter with CNN-Based Re-Identification
We propose a novel online multi-object visual tracker using a Gaussian mixture Probability Hypothesis Density (GM-PHD) filter and deep appearance learning. The GM-PHD filter has a linear complexity with the number of obj…
Large-Scale Person Re-IdentificationMultiple Object TrackingObject TrackingPerson Re-Identification+1Improved Res2Net model for Person re-identification
Person re-identification has become a very popular research topic in the computer vision community owing to its numerous applications and growing importance in visual surveillance. Person re-identification remains challe…
Large-Scale Person Re-IdentificationmodelPerson Re-IdentificationRobust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning
We propose a novel online multi-target visual tracker based on the recently developed Hypothesized and Independent Stochastic Population (HISP) filter. The HISP filter combines advantages of traditional tracking approach…
Large-Scale Person Re-IdentificationMultiple Object TrackingObject TrackingPerson Re-Identification+1STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification
In this work, we propose a novel Spatial-Temporal Attention (STA) approach to tackle the large-scale person re-identification task in videos. Different from the most existing methods, which simply compute representations…
Large-Scale Person Re-IdentificationPerson Re-IdentificationVideo-Based Person Re-IdentificationReal-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification
Online multi-object tracking is a fundamental problem in time-critical video analysis applications. A major challenge in the popular tracking-by-detection framework is how to associate unreliable detection results with e…
Large-Scale Person Re-IdentificationMulti-Object TrackingMultiple People TrackingObject Tracking+2An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-Identification
In recent years, a variety of proposed methods based on deep convolutional neural networks (CNNs) have improved the state of the art for large-scale person re-identification (ReID). While a large number of optimizations …
Domain AdaptationLarge-Scale Person Re-IdentificationPerson Re-IdentificationRegion-based Quality Estimation Network for Large-scale Person Re-identification
One of the major restrictions on the performance of video-based person re-id is partial noise caused by occlusion, blur and illumination. Since different spatial regions of a single frame have various quality, and the qu…
Large-Scale Person Re-IdentificationPerson Re-IdentificationPedestrian Alignment Network for Large-scale Person Re-identification
Person re-identification (person re-ID) is mostly viewed as an image retrieval problem. This task aims to search a query person in a large image pool. In practice, person re-ID usually adopts automatic detectors to obtai…
Image RetrievalLarge-Scale Person Re-IdentificationPerson Re-IdentificationRetrievalPart-based Deep Hashing for Large-scale Person Re-identification
Large-scale is a trend in person re-identification (re-id). It is important that real-time search be performed in a large gallery. While previous methods mostly focus on discriminative learning, this paper makes the atte…
Deep HashingLarge-Scale Person Re-IdentificationPerson Re-IdentificationTripletSimple Online and Realtime Tracking with a Deep Association Metric
Simple Online and Realtime Tracking (SORT) is a pragmatic approach to multiple object tracking with a focus on simple, effective algorithms. In this paper, we integrate appearance information to improve the performance o…
3D Multi-Object TrackingLarge-Scale Person Re-IdentificationMultiple Object TrackingObject Tracking+2