SOTAVerified

Instance Segmentation

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

Papers

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Showing 2051–2100 of 2262 papers

TitleStatusHype
Self-supervised Object Motion and Depth Estimation from Video—0
Self-Supervised Representation Learning from Flow Equivariance—0
Self-Supervised Representation Learning with Meta Comprehensive Regularization—0
Self-supervised Video Instance Segmentation Can Boost Geographic Entity Alignment in Historical Maps—0
Self-trained Panoptic Segmentation—0
Framework-agnostic Semantically-aware Global Reasoning for Segmentation—0
Semantic and Sequential Alignment for Referring Video Object Segmentation—0
Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images—0
Semantic Equitable Clustering: A Simple and Effective Strategy for Clustering Vision Tokens—0
SemanticFlow: A Self-Supervised Framework for Joint Scene Flow Prediction and Instance Segmentation in Dynamic Environments—0
Semantic Flow-guided Motion Removal Method for Robust Mapping—0
Semantic Gaussians: Open-Vocabulary Scene Understanding with 3D Gaussian Splatting—0
Semantic Instance Meets Salient Object: Study on Video Semantic Salient Instance Segmentation—0
Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes—0
Semantic Segmentation and Object Detection Towards Instance Segmentation: Breast Tumor Identification—0
Semi-convolutional Operators for Instance Segmentation—0
SEMI-PointRend: Improved Semiconductor Wafer Defect Classification and Segmentation as Rendering—0
Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions—0
Semi-supervised classification of dental conditions in panoramic radiographs using large language model and instance segmentation: A real-world dataset evaluation—0
Semi-Supervised Hierarchical Semantic Object Parsing—0
Semi-supervised Instance Segmentation with a Learned Shape Prior—0
Sensor Equivariance by LiDAR Projection Images—0
SE-PSNet: Silhouette-based Enhancement Feature for Panoptic Segmentation Network—0
Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model—0
SGN: Sequential Grouping Networks for Instance Segmentation—0
Shape-Aware Monocular 3D Object Detection—0
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors—0
SharpContour: A Contour-based Boundary Refinement Approach for Efficient and Accurate Instance Segmentation—0
Ship Detection in Remote Sensing Imagery for Arbitrarily Oriented Object Detection—0
Ship Instance Segmentation From Remote Sensing Images Using Sequence Local Context Module—0
Ship Segmentation and Georeferencing from Static Oblique View Images—0
Should we pre-train a decoder in contrastive learning for dense prediction tasks?—0
Individual mapping of large polymorphic shrubs in high mountains using satellite images and deep learning—0
SIAN: Style-Guided Instance-Adaptive Normalization for Multi-Organ Histopathology Image Synthesis—0
Simple Does It: Weakly Supervised Instance and Semantic Segmentation—0
Simple Training Strategies and Model Scaling for Object Detection—0
SimPLR: A Simple and Plain Transformer for Scaling-Efficient Object Detection and Segmentation—0
SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks—0
Simultaneous Nuclear Instance and Layer Segmentation in Oral Epithelial Dysplasia—0
Single Pixel Reconstruction for One-stage Instance Segmentation—0
Single-Shot Panoptic Segmentation—0
Single-shot Path Integrated Panoptic Segmentation—0
Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects—0
Skeleton-Guided Instance Separation for Fine-Grained Segmentation in Microscopy—0
SKU-Patch: Towards Efficient Instance Segmentation for Unseen Objects in Auto-Store—0
Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing—0
Slot Based Image Augmentation System for Object Detection—0
SMAC-Seg: LiDAR Panoptic Segmentation via Sparse Multi-directional Attention Clustering—0
SmartEraser: Remove Anything from Images using Masked-Region Guidance—0
SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving—0
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All datasetsCOCO test-devCOCO minivalLVIS v1.0 valCityscapes valADE20K valARMBenchOccluded COCOOoDISSeparated COCOTBBRBDD100K valCOCO val (panoptic labels)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-HAP5080.8—Unverified
2ResNeSt-200 (multi-scale)AP5070.2—Unverified
3CenterMask + VoVNetV2-99 (multi-scale)AP5066.2—Unverified
4CenterMask + VoVNetV2-57 (single-scale)AP5060.8—Unverified
5Co-DETRmask AP57.1—Unverified
6CBNetV2 (EVA02, single-scale)mask AP56.1—Unverified
7ISDA (ResNet-50)APL55.7—Unverified
8EVAmask AP55.5—Unverified
9FD-SwinV2-Gmask AP55.4—Unverified
10Mask Frozen-DETRmask AP55.3—Unverified
#ModelMetricClaimedVerifiedStatus
1InternImage-BGFLOPs501—Unverified
2Co-DETRmask AP56.6—Unverified
3ViT-CoMer-L (Mask RCNN, DINOv2)mask AP55.9—Unverified
4InternImage-Hmask AP55.4—Unverified
5EVAmask AP55—Unverified
6Mask Frozen-DETRmask AP54.9—Unverified
7MasK DINO (SwinL, multi-scale)mask AP54.5—Unverified
8ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2—Unverified
9GLEE-Promask AP54.2—Unverified
10SwinV2-G (HTC++)mask AP53.7—Unverified