Papers Visual Object Tracking
“Visual Object Tracking” 태그가 달린 논문 369편 · 필터 해제
Towards Efficient Training with Negative Samples in Visual Tracking
Current state-of-the-art (SOTA) methods in visual object tracking often require extensive computational resources and vast amounts of training data, leading to a risk of overfitting. This study introduces a more efficien…
Object TrackingVisual Object TrackingVisual TrackingImproving Underwater Visual Tracking With a Large Scale Dataset and Image Enhancement
This paper presents a new dataset and general tracker enhancement method for Underwater Visual Object Tracking (UVOT). Despite its significance, underwater tracking has remained unexplored due to data inaccessibility. It…
Image EnhancementObject TrackingVisual Object TrackingVisual TrackingIntegrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and Segmentation
Tracking any given object(s) spatially and temporally is a common purpose in Visual Object Tracking (VOT) and Video Object Segmentation (VOS). Joint tracking and segmentation have been attempted in some studies but they …
ObjectObject TrackingRepresentation LearningSegmentation+5BackTrack: Robust template update via Backward Tracking of candidate template
Variations of target appearance such as deformations, illumination variance, occlusion, etc., are the major challenges of visual object tracking that negatively impact the performance of a tracker. An effective method to…
Object TrackingVisual Object TrackingLearning Spatial Distribution of Long-Term Trackers Scores
Long-Term tracking is a hot topic in Computer Vision. In this context, competitive models are presented every year, showing a constant growth rate in performances, mainly measured in standardized protocols as Visual Obje…
Object TrackingVisual Object Tracking360VOT: A New Benchmark Dataset for Omnidirectional Visual Object Tracking
360{\deg} images can provide an omnidirectional field of view which is important for stable and long-term scene perception. In this paper, we explore 360{\deg} images for visual object tracking and perceive new challenge…
Object TrackingVisual Object TrackingTracking Anything in High Quality
Visual object tracking is a fundamental video task in computer vision. Recently, the notably increasing power of perception algorithms allows the unification of single/multiobject and box/mask-based tracking. Among them,…
ObjectObject TrackingSemantic SegmentationSemi-Supervised Video Object Segmentation+3Cross-Drone Transformer Network for Robust Single Object Tracking
Drones have been widely used in a variety of applications, e.g., aerial photography and military security, because of their high maneuverability and broad views compared with fixed cameras. Multi-drone tracking systems c…
ObjectObject TrackingVisual Object TrackingVisual TrackingHeteroskedastic Geospatial Tracking with Distributed Camera Networks
Visual object tracking has seen significant progress in recent years. However, the vast majority of this work focuses on tracking objects within the image plane of a single camera and ignores the uncertainty associated w…
ObjectObject TrackingVisual Object TrackingUnified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking
In this paper, we introduce a new sequence-to-sequence learning framework for RGB-based and multi-modal object tracking. First, we present SeqTrack for RGB-based tracking. It casts visual tracking as a sequence generatio…
DecoderObjectObject TrackingRgb-T Tracking+2Tracking by 3D Model Estimation of Unknown Objects in Videos
Most model-free visual object tracking methods formulate the tracking task as object location estimation given by a 2D segmentation or a bounding box in each video frame. We argue that this representation is limited and …
ObjectObject TrackingSegmentationVisual Object TrackingDropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks
In this paper, we study masked autoencoder (MAE) pretraining on videos for matching-based downstream tasks, including visual object tracking (VOT) and video object segmentation (VOS). A simple extension of MAE is to rand…
DiversityObject TrackingSemantic SegmentationVideo Object Segmentation+2Generalized Relation Modeling for Transformer Tracking
Compared with previous two-stream trackers, the recent one-stream tracking pipeline, which allows earlier interaction between the template and search region, has achieved a remarkable performance gain. However, existing …
RelationVisual Object TrackingSiamTHN: Siamese Target Highlight Network for Visual Tracking
Siamese network based trackers develop rapidly in the field of visual object tracking in recent years. The majority of siamese network based trackers now in use treat each channel in the feature maps generated by the bac…
Object TrackingregressionVisual Object TrackingVisual TrackingUniversal Instance Perception as Object Discovery and Retrieval
All instance perception tasks aim at finding certain objects specified by some queries such as category names, language expressions, and target annotations, but this complete field has been split into multiple independen…
Described Object DetectionGeneralized Referring Expression ComprehensionInstance SegmentationMulti-Object Tracking and Segmentation+16Target-Aware Tracking with Long-term Context Attention
Most deep trackers still follow the guidance of the siamese paradigms and use a template that contains only the target without any contextual information, which makes it difficult for the tracker to cope with large appea…
Object TrackingVideo Object TrackingVisual Object TrackingVisual TrackingMixFormer: End-to-End Tracking with Iterative Mixed Attention
Visual object tracking often employs a multi-stage pipeline of feature extraction, target information integration, and bounding box estimation. To simplify this pipeline and unify the process of feature extraction and ta…
Object TrackingVisual Object TrackingCompact Transformer Tracker with Correlative Masked Modeling
Transformer framework has been showing superior performances in visual object tracking for its great strength in information aggregation across the template and search image with the well-known attention mechanism. Most …
DecoderObject TrackingVisual Object TrackingEgoTracks: A Long-term Egocentric Visual Object Tracking Dataset
Visual object tracking is a key component to many egocentric vision problems. However, the full spectrum of challenges of egocentric tracking faced by an embodied AI is underrepresented in many existing datasets; these t…
ObjectObject TrackingVisual Object TrackingRepresentation Learning for Visual Object Tracking by Masked Appearance Transfer
Visual representation plays an important role in visual object tracking. However, few works study the tracking-specified representation learning method. Most trackers directly use ImageNet pre-trained representations…
Appearance TransferDecoderObject TrackingRepresentation Learning+1