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 801–850 of 2262 papers

TitleStatusHype
HCFormer: Unified Image Segmentation with Hierarchical ClusteringCode1
FsaNet: Frequency Self-attention for Semantic SegmentationCode1
Clustering Plotted Data by Image SegmentationCode1
SyncVIS: Synchronized Video Instance SegmentationCode1
Fully Automated Scan-to-BIM Via Point Cloud Instance SegmentationCode1
Instance Segmentation under Occlusions via Location-aware Copy-Paste Data AugmentationCode1
Kartezio: Evolutionary Design of Explainable Pipelines for Biomedical Image AnalysisCode1
Learning with Noisy Class Labels for Instance SegmentationCode1
GAInS: Gradient Anomaly-aware Biomedical Instance SegmentationCode1
Instance Semantic Segmentation Benefits from Generative Adversarial NetworksCode1
Text2Seg: Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation ModelsCode1
GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo LabelersCode1
The ApolloScape Open Dataset for Autonomous Driving and its ApplicationCode1
OSFormer: One-Stage Camouflaged Instance Segmentation with TransformersCode1
SipMask: Spatial Information Preservation for Fast Image and Video Instance SegmentationCode1
The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and BenchmarkCode1
Cross-Task Data Augmentation by Pseudo-label Generation for Region Based Coronary Artery Instance Segmentation—0
Darwin's Neural Network: AI-based Strategies for Rapid and Scalable Cell and Coronavirus Screening—0
Autonomous Quilt Spreading for Caregiving Robots—0
DARNet: Deep Active Ray Network for Building Segmentation—0
Automotive Parts Assessment: Applying Real-time Instance-Segmentation Models to Identify Vehicle Parts—0
ALBERT: Advanced Localization and Bidirectional Encoder Representations from Transformers for Automotive Damage Evaluation—0
Automating lichen monitoring in ecological studies using instance segmentation of time-lapse images—0
DArch: Dental Arch Prior-Assisted 3D Tooth Instance Segmentation With Weak Annotations—0
A Bilayer Segmentation-Recombination Network for Accurate Segmentation of Overlapping C. elegans—0
DArch: Dental Arch Prior-assisted 3D Tooth Instance Segmentation—0
Automating Cobb Angle Measurement for Adolescent Idiopathic Scoliosis using Instance Segmentation—0
Automatic Video Object Segmentation via Motion-Appearance-Stream Fusion and Instance-aware Segmentation—0
CzechLynx: A Dataset for Individual Identification and Pose Estimation of the Eurasian Lynx—0
Automatic occlusion removal from 3D maps for maritime situational awareness—0
AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers—0
Automatic Drywall Analysis for Progress Tracking and Quality Control in Construction—0
3D-FUTURE: 3D Furniture shape with TextURE—0
CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation—0
Automatic counting of mounds on UAV images: combining instance segmentation and patch-level correction—0
3DFusion, A real-time 3D object reconstruction pipeline based on streamed instance segmented data—0
Instance Segmentation GNNs for One-Shot Conformal Tracking at the LHC—0
Instance segmentation of buildings using keypoints—0
Task-Specific Adaptation of Segmentation Foundation Model via Prompt Learning—0
Automatic characterization of boulders on planetary surfaces from high-resolution satellite images—0
Curriculum Learning with Diversity for Supervised Computer Vision Tasks—0
CUPre: Cross-domain Unsupervised Pre-training for Few-Shot Cell Segmentation—0
Automatic Cadastral Boundary Detection of Very High Resolution Images Using Mask R-CNN—0
AI-based thermal bridge detection of building rooftops on district scale using aerial images—0
Automatic Animation of Hair Blowing in Still Portrait Photos—0
A Holistically-Guided Decoder for Deep Representation Learning with Applications to Semantic Segmentation and Object Detection—0
Automated National Urban Map Extraction—0
A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI—0
1st Place Solution for CVPR2023 BURST Long Tail and Open World Challenges—0
Automated Measurements of Key Morphological Features of Human Embryos for IVF—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