Papers Object Segmentation
“Object Segmentation” 태그가 달린 논문 86편 · 필터 해제
GenCAMO: Scene-Graph Contextual Decoupling for Environment-aware and Mask-free Camouflage Image-Dense Annotation Generation
Conceal dense prediction (CDP), especially RGB-D camouflage object detection and open-vocabulary camouflage object segmentation, plays a crucial role in advancing the understanding and reasoning of complex camouflage sce…
Object SegmentationObject DetectionRSAgent: Learning to Reason and Act for Text-Guided Segmentation via Multi-Turn Tool Invocations
Text-guided object segmentation requires both cross-modal reasoning and pixel grounding abilities. Most recent methods treat text-guided segmentation as one-shot grounding, where the model predicts pixel prompts in a sin…
Reinforcement LearningObject SegmentationSubsecond 3D Mesh Generation for Robot Manipulation
3D meshes are a fundamental representation widely used in computer science and engineering. In robotics, they are particularly valuable because they capture objects in a form that aligns directly with how robots interact…
Point Cloud RegistrationObject SegmentationRobot ManipulationContour Information Aware 2D Gaussian Splatting for Image Representation
Image representation is a fundamental task in computer vision. Recently, Gaussian Splatting has emerged as an efficient representation framework, and its extension to 2D image representation enables lightweight, yet expr…
Object SegmentationMuS-Polar3D: A Benchmark Dataset for Computational Polarimetric 3D Imaging under Multi-Scattering Conditions
Polarization-based underwater 3D imaging exploits polarization cues to suppress background scattering, exhibiting distinct advantages in turbid water. Although data-driven polarization-based underwater 3D reconstruction …
Object Segmentation3D ReconstructionCharge: A Comprehensive Novel View Synthesis Benchmark and Dataset to Bind Them All
This paper presents a new dataset for Novel View Synthesis, generated from a high-quality, animated film with stunning realism and intricate detail. Our dataset captures a variety of dynamic scenes, complete with detaile…
Novel View SynthesisObject SegmentationPower of Boundary and Reflection: Semantic Transparent Object Segmentation using Pyramid Vision Transformer with Transparent Cues
Glass is a prevalent material among solid objects in everyday life, yet segmentation methods struggle to distinguish it from opaque materials due to its transparency and reflection. While it is known that human perceptio…
Semantic SegmentationObject SegmentationVGGT4D: Mining Motion Cues in Visual Geometry Transformers for 4D Scene Reconstruction
Reconstructing dynamic 4D scenes is challenging, as it requires robust disentanglement of dynamic objects from the static background. While 3D foundation models like VGGT provide accurate 3D geometry, their performance d…
Camera Pose EstimationObject SegmentationSAM3-Adapter: Efficient Adaptation of Segment Anything 3 for Camouflage Object Segmentation, Shadow Detection, and Medical Image Segmentation
The rapid rise of large-scale foundation models has reshaped the landscape of image segmentation, with models such as Segment Anything achieving unprecedented versatility across diverse vision tasks. However, previous ge…
Medical Image SegmentationObject SegmentationShadow DetectionObject DetectionSCALER: SAM-Enhanced Collaborative Learning for Label-Deficient Concealed Object Segmentation
Existing methods for label-deficient concealed object segmentation (LDCOS) either rely on consistency constraints or Segment Anything Model (SAM)-based pseudo-labeling. However, their performance remains limited due to t…
Object SegmentationNested Unfolding Network for Real-World Concealed Object Segmentation
Deep unfolding networks (DUNs) have recently advanced concealed object segmentation (COS) by modeling segmentation as iterative foreground-background separation. However, existing DUN-based methods (RUN) inherently coupl…
Object SegmentationImage RestorationFast Reasoning Segmentation for Images and Videos
Reasoning segmentation enables open-set object segmentation via implicit text queries, therefore serving as a foundation for embodied agents that should operate autonomously in real-world environments. However, existing …
Object SegmentationUniVA: Universal Video Agent towards Open-Source Next-Generation Video Generalist
While specialized AI models excel at isolated video tasks like generation or understanding, real-world applications demand complex, iterative workflows that combine these capabilities. To bridge this gap, we introduce Un…
Object Segmentation4D3R: Motion-Aware Neural Reconstruction and Rendering of Dynamic Scenes from Monocular Videos
Novel view synthesis from monocular videos of dynamic scenes with unknown camera poses remains a fundamental challenge in computer vision and graphics. While recent advances in 3D representations such as Neural Radiance …
Novel View SynthesisObject SegmentationSelf-Supervised Moving Object Segmentation of Sparse and Noisy Radar Point Clouds
Moving object segmentation is a crucial task for safe and reliable autonomous mobile systems like self-driving cars, improving the reliability and robustness of subsequent tasks like SLAM or path planning. While the segm…
Representation LearningObject SegmentationTemporal SequencesPoint CloudsControllable-LPMoE: Adapting to Challenging Object Segmentation via Dynamic Local Priors from Mixture-of-Experts
Large-scale foundation models provide powerful feature representations for downstream object segmentation tasks. However, when adapted to specific tasks through the full-parameter fine-tuning, the enormous parameters bei…
Object Segmentationrareboost3d: a synthetic lidar dataset with enhanced rare classes
Real-world point cloud datasets have made significant contributions to the development of LiDAR-based perception technologies, such as object segmentation for autonomous driving. However, due to the limited number of ins…
Point Cloud SegmentationObject SegmentationAutonomous DrivingEnhancing Zero-Shot Anomaly Detection: CLIP-SAM Collaboration with Cascaded Prompts
Recently, the powerful generalization ability exhibited by foundation models has brought forth new solutions for zero-shot anomaly segmentation tasks. However, guiding these foundation models correctly to address downstr…
Object SegmentationAnomaly DetectionSCas4D: Structural Cascaded Optimization for Boosting Persistent 4D Novel View Synthesis
Persistent dynamic scene modeling for tracking and novel-view synthesis remains challenging due to the difficulty of capturing accurate deformations while maintaining computational efficiency. We propose SCas4D, a cascad…
Computational EfficiencyNovel View SynthesisObject SegmentationPoint TrackingLearning Egocentric In-Hand Object Segmentation through Weak Supervision from Human Narrations
Pixel-level recognition of objects manipulated by the user from egocentric images enables key applications spanning assistive technologies, industrial safety, and activity monitoring. However, progress in this area is cu…
Human-Object Interaction DetectionObject Segmentation