Papers Visual Tracking
“Visual Tracking” 태그가 달린 논문 581편 · 필터 해제
Learning Motion Blur Robust Vision Transformers with Dynamic Early Exit for Real-Time UAV Tracking
Recently, the surge in the adoption of single-stream architectures utilizing pre-trained ViT backbones represents a promising advancement in the field of generic visual tracking. By integrating feature extraction and fus…
Visual TrackingTracking Reflected Objects: A Benchmark
Visual tracking has advanced significantly in recent years, mainly due to the availability of large-scale training datasets. These datasets have enabled the development of numerous algorithms that can track objects with …
Autonomous DrivingVisual TrackingAdaptively Bypassing Vision Transformer Blocks for Efficient Visual Tracking
Empowered by transformer-based models, visual tracking has advanced significantly. However, the slow speed of current trackers limits their applicability on devices with constrained computational resources. To address th…
Visual TrackingMulti-Granularity Language-Guided Multi-Object Tracking
Most existing multi-object tracking methods typically learn visual tracking features via maximizing dis-similarities of different instances and minimizing similarities of the same instance. While such a feature learning …
Multi-Object TrackingObjectObject TrackingVisual TrackingRobust Visual Tracking via Iterative Gradient Descent and Threshold Selection
Visual tracking fundamentally involves regressing the state of the target in each frame of a video. Despite significant progress, existing regression-based trackers still tend to experience failures and inaccuracies. To …
regressionVisual TrackingXTrack: Multimodal Training Boosts RGB-X Video Object Trackers
Multimodal sensing has proven valuable for visual tracking, as different sensor types offer unique strengths in handling one specific challenging scene where object appearance varies. While a generalist model capable of …
Inductive BiasMixture-of-ExpertsMulti-Label ClassificationObject Tracking+3DTLLM-VLT: Diverse Text Generation for Visual Language Tracking Based on LLM
Visual Language Tracking (VLT) enhances single object tracking (SOT) by integrating natural language descriptions from a video, for the precise tracking of a specified object. By leveraging high-level semantic informatio…
Object TrackingText GenerationVisual TrackingAn Experimental Study on Exploring Strong Lightweight Vision Transformers via Masked Image Modeling Pre-Training
Masked image modeling (MIM) pre-training for large-scale vision transformers (ViTs) has enabled promising downstream performance on top of the learned self-supervised ViT features. In this paper, we question if the \text…
Contrastive LearningCPUImage ClassificationSemantic Segmentation+1Learning Tracking Representations from Single Point Annotations
Existing deep trackers are typically trained with largescale video frames with annotated bounding boxes. However, these bounding boxes are expensive and time-consuming to annotate, in particular for large scale datasets.…
Contrastive LearningVisual TrackingEmpowering Embodied Visual Tracking with Visual Foundation Models and Offline RL
Embodied visual tracking is to follow a target object in dynamic 3D environments using an agent's egocentric vision. This is a vital and challenging skill for embodied agents. However, existing methods suffer from ineffi…
GPUOffline RLQ-LearningSemantic Segmentation+1RTracker: Recoverable Tracking via PN Tree Structured Memory
Existing tracking methods mainly focus on learning better target representation or developing more robust prediction models to improve tracking performance. While tracking performance has significantly improved, the targ…
Visual Object TrackingVisual TrackingMulti-attention Associate Prediction Network for Visual Tracking
Classification-regression prediction networks have realized impressive success in several modern deep trackers. However, there is an inherent difference between classification and regression tasks, so they have diverse e…
PredictionregressionVisual TrackingPedestrian Tracking with Monocular Camera using Unconstrained 3D Motion Model
A first-principle single-object model is proposed for pedestrian tracking. It is assumed that the extent of the moving object can be described via known statistics in 3D, such as pedestrian height. The proposed model thu…
ObjectVisual TrackingA Spectrum-based Image Denoising Method with Edge Feature Enhancement
Image denoising stands as a critical challenge in image processing and computer vision, aiming to restore the original image from noise-affected versions caused by various intrinsic and extrinsic factors. This process is…
DenoisingDiagnosticImage DenoisingImage Registration+2Autoregressive Queries for Adaptive Tracking with Spatio-TemporalTransformers
The rich spatio-temporal information is crucial to capture the complicated target appearance variations in visual tracking. However, most top-performing tracking algorithms rely on many hand-crafted components for spatio…
Visual Object TrackingVisual TrackingLong-term Frame-Event Visual Tracking: Benchmark Dataset and Baseline
Current event-/frame-event based trackers undergo evaluation on short-term tracking datasets, however, the tracking of real-world scenarios involves long-term tracking, and the performance of existing tracking algorithms…
Object TrackingRgb-T TrackingVisual TrackingTracking Meets LoRA: Faster Training, Larger Model, Stronger Performance
Motivated by the Parameter-Efficient Fine-Tuning (PEFT) in large language models, we propose LoRAT, a method that unveils the power of large ViT model for tracking within laboratory-level resources. The essence of our wo…
GPUparameter-efficient fine-tuningVisual Object TrackingVisual TrackingMotion-Guided Dual-Camera Tracker for Endoscope Tracking and Motion Analysis in a Mechanical Gastric Simulator
Flexible endoscope motion tracking and analysis in mechanical simulators have proven useful for endoscopy training. Common motion tracking methods based on electromagnetic tracker are however limited by their high cost a…
MambaObject TrackingPositionVisual TrackingVastTrack: Vast Category Visual Object Tracking
In this paper, we introduce a novel benchmark, dubbed VastTrack, towards facilitating the development of more general visual tracking via encompassing abundant classes and videos. VastTrack possesses several attractive p…
ObjectObject TrackingVisual Object TrackingVisual TrackingUnifying Visual and Vision-Language Tracking via Contrastive Learning
Single object tracking aims to locate the target object in a video sequence according to the state specified by different modal references, including the initial bounding box (BBOX), natural language (NL), or both (NL+BB…
Contrastive LearningObject TrackingVisual GroundingVisual Object Tracking+1