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Instance Segmentation
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Instance Segmentation is a computer vision task that involves identifying and separating individual objects within an image, including detecting the boundaries of each object and assigning a unique label to each object. The goal of instance segmentation is to produce a pixel-wise segmentation map of the image, where each pixel is assigned to a specific object instance.
Image Credit: Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers, CVPR'21
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Tomato Multi-Angle Multi-Pose Dataset for Fine-Grained Phenotyping
DreamGrasp: Zero-Shot 3D Multi-Object Reconstruction from Partial-View Images for Robotic Manipulation
SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning
Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation
No time to train! Training-Free Reference-Based Instance Segmentation
NOCTIS: Novel Object Cyclic Threshold based Instance Segmentation
DeRIS: Decoupling Perception and Cognition for Enhanced Referring Image Segmentation through Loopback Synergy
VoteSplat: Hough Voting Gaussian Splatting for 3D Scene Understanding
Mask-aware Text-to-Image Retrieval: Referring Expression Segmentation Meets Cross-modal Retrieval
Leader360V: The Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment
A Comprehensive Survey on Video Scene Parsing:Advances, Challenges, and Prospects
Prohibited Items Segmentation via Occlusion-aware Bilayer Modeling
ALBERT: Advanced Localization and Bidirectional Encoder Representations from Transformers for Automotive Damage Evaluation
The Four Color Theorem for Cell Instance Segmentation
Accurate and efficient zero-shot 6D pose estimation with frozen foundation models
OpenSplat3D: Open-Vocabulary 3D Instance Segmentation using Gaussian Splatting
SAM2Auto: Auto Annotation Using FLASH
You Only Estimate Once: Unified, One-stage, Real-Time Category-level Articulated Object 6D Pose Estimation for Robotic Grasping
Gen-n-Val: Agentic Image Data Generation and Validation
OpenMaskDINO3D : Reasoning 3D Segmentation via Large Language Model
CzechLynx: A Dataset for Individual Identification and Pose Estimation of the Eurasian Lynx
Bringing SAM to new heights: Leveraging elevation data for tree crown segmentation from drone imagery
Refer to Anything with Vision-Language Prompts
SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds
CAST: Contrastive Adaptation and Distillation for Semi-Supervised Instance Segmentation
ConfLUNet: Multiple sclerosis lesion instance segmentation in presence of confluent lesions
The Missing Point in Vision Transformers for Universal Image Segmentation
ThinkVideo: High-Quality Reasoning Video Segmentation with Chain of Thoughts
RemoteSAM: Towards Segment Anything for Earth Observation
RE-TRIP : Reflectivity Instance Augmented Triangle Descriptor for 3D Place Recognition
Sketchy Bounding-box Supervision for 3D Instance Segmentation
Detailed Evaluation of Modern Machine Learning Approaches for Optic Plastics Sorting
gen2seg: Generative Models Enable Generalizable Instance Segmentation
UWSAM: Segment Anything Model Guided Underwater Instance Segmentation and A Large-scale Benchmark Dataset
Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation
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