Papers Visual Object Tracking
“Visual Object Tracking” 태그가 달린 논문 369편 · 필터 해제
Autoregressive Visual Tracking
We present ARTrack, an autoregressive framework for visual object tracking. ARTrack tackles tracking as a coordinate sequence interpretation task that estimates object trajectories progressively, where the current es…
ObjectObject TrackingTemplate MatchingVideo Object Tracking+2Foreground-Background Distribution Modeling Transformer for Visual Object Tracking
Visual object tracking is a fundamental research topic with a broad range of applications. Benefiting from the rapid development of Transformer, pure Transformer trackers have achieved great progress. However, the fe…
ObjectObject TrackingState EstimationVisual Object TrackingEvent-based Visual Tracking in Dynamic Environments
Visual object tracking under challenging conditions of motion and light can be hindered by the capabilities of conventional cameras, prone to producing images with motion blur. Event cameras are novel sensors suited to r…
Objectobject-detectionObject DetectionObject Tracking+2Improving Siamese Based Trackers with Light or No Training through Multiple Templates and Temporal Network
High computational power and significant time are usually needed to train a deep learning based tracker on large datasets. Depending on many factors, training might not always be an option. In this paper, we propose a fr…
Object TrackingVisual Object TrackingRoboflow 100: A Rich, Multi-Domain Object Detection Benchmark
The evaluation of object detection models is usually performed by optimizing a single metric, e.g. mAP, on a fixed set of datasets, e.g. Microsoft COCO and Pascal VOC. Due to image retrieval and annotation costs, these d…
2D Object DetectionImage RetrievalMedical Object DetectionMulti-Object Tracking+14PVT++: A Simple End-to-End Latency-Aware Visual Tracking Framework
Visual object tracking is essential to intelligent robots. Most existing approaches have ignored the online latency that can cause severe performance degradation during real-world processing. Especially for unmanned aeri…
Object TrackingVisual Object TrackingVisual Tracking3D-SiamMask: Vision-Based Multi-Rotor Aerial-Vehicle Tracking for a Moving Object
This paper aims to develop a multi-rotor-based visual tracker for a specified moving object. Visual object-tracking algorithms for multi-rotors are challenging due to multiple issues such as occlusion, quick camera motio…
3D Single Object TrackingDepth EstimationGPUObject+2NeighborTrack: Improving Single Object Tracking by Bipartite Matching with Neighbor Tracklets
We propose a post-processor, called NeighborTrack, that leverages neighbor information of the tracking target to validate and improve single-object tracking (SOT) results. It requires no additional data or retraining. In…
ObjectObject TrackingVideo Object TrackingVisual Object TrackingProContEXT: Exploring Progressive Context Transformer for Tracking
Existing Visual Object Tracking (VOT) only takes the target area in the first frame as a template. This causes tracking to inevitably fail in fast-changing and crowded scenes, as it cannot account for changes in object a…
ObjectObject TrackingVideo Object TrackingVisual Object TrackingAttTrack: Online Deep Attention Transfer for Multi-object Tracking
Multi-object tracking (MOT) is a vital component of intelligent video analytics applications such as surveillance and autonomous driving. The time and storage complexity required to execute deep learning models for visua…
Autonomous DrivingDeep AttentionMulti-Object TrackingObject+4Trans2k: Unlocking the Power of Deep Models for Transparent Object Tracking
Visual object tracking has focused predominantly on opaque objects, while transparent object tracking received very little attention. Motivated by the uniqueness of transparent objects in that their appearance is directl…
2kObjectObject TrackingTransparent objects+1Visual Object Tracking in First Person Vision
The understanding of human-object interactions is fundamental in First Person Vision (FPV). Visual tracking algorithms which follow the objects manipulated by the camera wearer can provide useful information to effective…
Human-Object Interaction DetectionObjectObject TrackingVisual Object Tracking+1TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos
Weakly supervised video object localization (WSVOL) allows locating object in videos using only global video tags such as object class. State-of-art methods rely on multiple independent stages, where initial spatio-tempo…
ObjectObject LocalizationObject TrackingOptical Flow Estimation+1RGBD1K: A Large-scale Dataset and Benchmark for RGB-D Object Tracking
RGB-D object tracking has attracted considerable attention recently, achieving promising performance thanks to the symbiosis between visual and depth channels. However, given a limited amount of annotated RGB-D tracking …
Object TrackingVisual Object TrackingLearning Spatial-Frequency Transformer for Visual Object Tracking
Recent trackers adopt the Transformer to combine or replace the widely used ResNet as their new backbone network. Although their trackers work well in regular scenarios, however, they simply flatten the 2D features into …
ObjectObject TrackingVisual Object TrackingAVisT: A Benchmark for Visual Object Tracking in Adverse Visibility
One of the key factors behind the recent success in visual tracking is the availability of dedicated benchmarks. While being greatly benefiting to the tracking research, existing benchmarks do not pose the same difficult…
Object TrackingVisual Object TrackingVisual TrackingTowards Sequence-Level Training for Visual Tracking
Despite the extensive adoption of machine learning on the task of visual object tracking, recent learning-based approaches have largely overlooked the fact that visual tracking is a sequence-level task in its nature; the…
Data AugmentationObject TrackingReinforcement Learning (RL)Video Object Tracking+1Local Perception-Aware Transformer for Aerial Tracking
Transformer-based visual object tracking has been utilized extensively. However, the Transformer structure is lack of enough inductive bias. In addition, only focusing on encoding the global feature does harm to modeling…
Inductive BiasObject TrackingVisual Object TrackingBATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
Video Object Segmentation (VOS) is fundamental to video understanding. Transformer-based methods show significant performance improvement on semi-supervised VOS. However, existing work faces challenges segmenting visuall…
ObjectOptical Flow EstimationSegmentationSemantic Segmentation+5AiATrack: Attention in Attention for Transformer Visual Tracking
Transformer trackers have achieved impressive advancements recently, where the attention mechanism plays an important role. However, the independent correlation computation in the attention mechanism could result in nois…
Object TrackingVideo Object TrackingVisual Object TrackingVisual Tracking