Papers Visual Tracking
“Visual Tracking” 태그가 달린 논문 581편 · 필터 해제
STATrack: A Target-Aware Fully Spiking Neural Network for Efficient UAV Tracking
Spiking Neural Networks (SNNs), characterized by their event-driven computation and low power consumption, have shown great potential for energy-efficient visual tracking on unmanned aerial vehicles (UAVs). However, exis…
Visual TrackingCoMaTrack: Competitive Multi-Agent Game-Theoretic Tracking with Vision-Language-Action Models
Embodied Visual Tracking (EVT), a core dynamic task in embodied intelligence, requires an agent to precisely follow a language-specified target. Yet most existing methods rely on single-agent imitation learning, sufferin…
Multi-agent Reinforcement LearningVisual TrackingFastLoop: Parallel Loop Closing with GPU-Acceleration in Visual SLAM
Visual SLAM systems combine visual tracking with global loop closure to maintain a consistent map and accurate localization. Loop closure is a computationally expensive process as we need to search across the whole map f…
Visual TrackingUni-MDTrack: Learning Decoupled Memory and Dynamic States for Parameter-Efficient Visual Tracking in All Modality
With the advent of Transformer-based one-stream trackers that possess strong capability in inter-frame relation modeling, recent research has increasingly focused on how to introduce spatio-temporal context. However, mos…
Visual TrackingLongVidSearch: An Agentic Benchmark for Multi-hop Evidence Retrieval Planning in Long Videos
Long video question answering (Long-Video QA) increasingly relies on agentic tool use to retrieve evidence from long videos. In realistic settings, this process often requires multi-hop retrieval, where agents must itera…
Video Question AnsweringAnswer GenerationCausal InferenceVisual TrackingCyboRacket: A Perception-to-Action Framework for Humanoid Racket Sports
Dynamic ball-interaction tasks remain challenging for robots because they require tight perception-action coupling under limited reaction time. This challenge is especially pronounced in humanoid racket sports, where suc…
Trajectory PredictionVisual TrackingUTPTrack: Towards Simple and Unified Token Pruning for Visual Tracking
One-stream Transformer-based trackers achieve advanced performance in visual object tracking but suffer from significant computational overhead that hinders real-time deployment. While token pruning offers a path to effi…
Visual Object TrackingVisual TrackingSpikeTrack: A Spike-driven Framework for Efficient Visual Tracking
Spiking Neural Networks (SNNs) promise energy-efficient vision, but applying them to RGB visual tracking remains difficult: Existing SNN tracking frameworks either do not fully align with spike-driven computation or do n…
Object TrackingVisual TrackingUncertainty-Guided Inference-Time Depth Adaptation for Transformer-Based Visual Tracking
Transformer-based single-object trackers achieve state-of-the-art accuracy but rely on fixed-depth inference, executing the full encoder--decoder stack for every frame regardless of visual complexity, thereby incurring u…
Knowledge DistillationVisual TrackingFARTrack: Fast Autoregressive Visual Tracking with High Performance
Inference speed and tracking performance are two critical evaluation metrics in the field of visual tracking. However, high-performance trackers often suffer from slow processing speeds, making them impractical for deplo…
Model CompressionVisual TrackingSMTrack: State-Aware Mamba for Efficient Temporal Modeling in Visual Tracking
Visual tracking aims to automatically estimate the state of a target object in a video sequence, which is challenging especially in dynamic scenarios. Thus, numerous methods are proposed to introduce temporal cues to enh…
Visual TrackingGLAD: Generative Language-Assisted Visual Tracking for Low-Semantic Templates
Vision-language tracking has gained increasing attention in many scenarios. This task simultaneously deals with visual and linguistic information to localize objects in videos. Despite its growing utility, the developmen…
Visual TrackingExploring Reliable Spatiotemporal Dependencies for Efficient Visual Tracking
Recent advances in transformer-based lightweight object tracking have established new standards across benchmarks, leveraging the global receptive field and powerful feature extraction capabilities of attention mechanism…
Object TrackingVisual TrackingVPTracker: Global Vision-Language Tracking via Visual Prompt
Vision-Language Tracking aims to continuously localize objects described by a visual template and a language description. Existing methods, however, are typically limited to local search, making them prone to failures un…
Visual TrackingHow Far are Modern Trackers from UAV-Anti-UAV? A Million-Scale Benchmark and New Baseline
Unmanned Aerial Vehicles (UAVs) offer wide-ranging applications but also pose significant safety and privacy violation risks in areas like airport and infrastructure inspection, spurring the rapid development of Anti-UAV…
Visual TrackingUAUTrack: Towards Unified Multimodal Anti-UAV Visual Tracking
Research in Anti-UAV (Unmanned Aerial Vehicle) tracking has explored various modalities, including RGB, TIR, and RGB-T fusion. However, a unified framework for cross-modal collaboration is still lacking. Existing approac…
Visual TrackingStableTrack: Stabilizing Multi-Object Tracking on Low-Frequency Detections
Multi-object tracking (MOT) is one of the most challenging tasks in computer vision, where it is important to correctly detect objects and associate these detections across frames. Current approaches mainly focus on trac…
Multi-Object TrackingVisual TrackingBridging Vision and Language for Robust Context-Aware Surgical Point Tracking: The VL-SurgPT Dataset and Benchmark
Accurate point tracking in surgical environments remains challenging due to complex visual conditions, including smoke occlusion, specular reflections, and tissue deformation. While existing surgical tracking datasets pr…
Visual TrackingPoint TrackingMirrorLimb: Implementing hand pose acquisition and robot teleoperation based on RealMirror
In this work, we present a PICO-based robot remote operating framework that enables low-cost, real-time acquisition of hand motion and pose data, outperforming mainstream visual tracking and motion capture solutions in t…
Visual TrackingUniSOT: A Unified Framework for Multi-Modality Single Object Tracking
Single object tracking aims to localize target object with specific reference modalities (bounding box, natural language or both) in a sequence of specific video modalities (RGB, RGB+Depth, RGB+Thermal or RGB+Event.). Di…
Object TrackingVisual Tracking