Papers Object Tracking
“Object Tracking” 태그가 달린 논문 2,087편 · 필터 해제
CorrBEV: Multi-View 3D Object Detection by Correlation Learning with Multi-modal Prototypes
Camera-only multi-view 3D object detection in autonomous driving has witnessed encouraging developments in recent years, largely attributed to the revolution of fundamental architectures in modeling bird's eye view (…
3D Object DetectionAutonomous DrivingObjectobject-detection+2Self-Supervised Cross-View Correspondence with Predictive Cycle Consistency
Learning self-supervised visual correspondence is a long-studied task fundamental to visual understanding and human perception. However, existing correspondence methods largely focus on small image transformations, s…
ColorizationImitation LearningObject TrackingGRAE-3DMOT: Geometry Relation-Aware Encoder for Online 3D Multi-Object Tracking
Recently, 3D multi-object tracking (MOT) has widely adopted the standard tracking-by-detection paradigm, which solves the association problem between detections and tracks. Many tracking-by-detection approaches estab…
3D Multi-Object TrackingMulti-Object TrackingObject TrackingRelationPrior-free 3D Object Tracking
In this paper, we introduce a novel, truly prior-free 3D object tracking method that operates without given any model or training priors. Unlike existing methods that typically require pre-defined 3D models or specif…
3D Object TrackingObjectObject TrackingAutoregressive Sequential Pretraining for Visual Tracking
Recent advancements in visual object tracking have shifted towards a sequential generation paradigm, where object deformation and motion exhibit strong temporal dependencies. Despite the importance of these dependenc…
ObjectObject TrackingVisual Object TrackingVisual TrackingMono3DVLT: Monocular-Video-Based 3D Visual Language Tracking
Visual-Language Tracking (VLT) is emerging as a promising paradigm to bridge the human-machine performance gap. For single objects, VLT broadens the problem scope to text-driven video comprehension. Yet, this directi…
Object TrackingLeveraging Temporal Cues for Semi-Supervised Multi-View 3D Object Detection
While recent advancements in camera-based 3D object detection demonstrate remarkable performance, they require thousands or even millions of human-annotated frames. This requirement significantly inhibits their deplo…
3D Object Detection3D Object TrackingAutonomous Drivingobject-detection+3DreamTrack: Dreaming the Future for Multimodal Visual Object Tracking
Aiming to achieve class-agnostic perception in visual object tracking, current trackers commonly formulate tracking as a one-shot detection problem with the template-matching architecture. Despite the success, severe…
Object TrackingTemplate MatchingVisual Object TrackingVisual TrackingSUTrack: Towards Simple and Unified Single Object Tracking
In this paper, we propose a simple yet unified single object tracking (SOT) framework, dubbed SUTrack. It consolidates five SOT tasks (RGB-based, RGB-Depth, RGB-Thermal, RGB-Event, RGB-Language Tracking) into a unified m…
Object TrackingRgb-T TrackingCross-View Referring Multi-Object Tracking
Referring Multi-Object Tracking (RMOT) is an important topic in the current tracking field. Its task form is to guide the tracker to track objects that match the language description. Current research mainly focuses on r…
Cross-view Referring Multi-Object TrackingMulti-Object TrackingObjectObject Tracking+1Exploiting Multimodal Spatial-temporal Patterns for Video Object Tracking
Multimodal tracking has garnered widespread attention as a result of its ability to effectively address the inherent limitations of traditional RGB tracking. However, existing multimodal trackers mainly focus on the fusi…
MambaObject TrackingRgb-T TrackingVideo Object TrackingScaling 4D Representations
Scaling has not yet been convincingly demonstrated for pure self-supervised learning from video. However, prior work has focused evaluations on semantic-related tasks $\unicode{x2013}$ action classification, ImageNet cla…
Action ClassificationCamera Pose EstimationDepth EstimationObject Tracking+2Joint Perception and Prediction for Autonomous Driving: A Survey
Perception and prediction modules are critical components of autonomous driving systems, enabling vehicles to navigate safely through complex environments. The perception module is responsible for perceiving the environm…
Autonomous Drivingmotion predictionMulti-Task LearningNavigate+5MambaLCT: Boosting Tracking via Long-term Context State Space Model
Effectively constructing context information with long-term dependencies from video sequences is crucial for object tracking. However, the context length constructed by existing work is limited, only considering object i…
MambaObject TrackingTell Me What to Track: Infusing Robust Language Guidance for Enhanced Referring Multi-Object Tracking
Referring multi-object tracking (RMOT) is an emerging cross-modal task that aims to localize an arbitrary number of targets based on a language expression and continuously track them in a video. This intricate task invol…
DecoderMulti-Object TrackingObject TrackingReferring Multi-Object TrackingCompactFlowNet: Efficient Real-time Optical Flow Estimation on Mobile Devices
We present CompactFlowNet, the first real-time mobile neural network for optical flow prediction, which involves determining the displacement of each pixel in an initial frame relative to the corresponding pixel in a sub…
Action RecognitionMotion EstimationObject TrackingOptical Flow Estimation+3Exploring Enhanced Contextual Information for Video-Level Object Tracking
Contextual information at the video level has become increasingly crucial for visual object tracking. However, existing methods typically use only a few tokens to convey this information, which can lead to information lo…
ObjectObject TrackingSemi-Supervised Video Object SegmentationVideo Object Tracking+2Heterogeneous Graph Transformer for Multiple Tiny Object Tracking in RGB-T Videos
Tracking multiple tiny objects is highly challenging due to their weak appearance and limited features. Existing multi-object tracking algorithms generally focus on single-modality scenes, and overlook the complementary …
Multi-Object TrackingMultiple Object TrackingObjectObject TrackingPatch-level Sounding Object Tracking for Audio-Visual Question Answering
Answering questions related to audio-visual scenes, i.e., the AVQA task, is becoming increasingly popular. A critical challenge is accurately identifying and tracking sounding objects related to the question along the ti…
Audio-visual Question AnsweringObject TrackingQuestion AnsweringVisual Question AnsweringVisual Object Tracking across Diverse Data Modalities: A Review
Visual Object Tracking (VOT) is an attractive and significant research area in computer vision, which aims to recognize and track specific targets in video sequences where the target objects are arbitrary and class-agnos…
Object TrackingVisual Object Tracking