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

Showing 351400 of 2262 papers

TitleStatusHype
Deep learning approaches to building rooftop thermal bridge detection from aerial imagesCode1
Deep-learning in the bioimaging wild: Handling ambiguous data with deepflash2Code1
Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural DomainCode1
Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing ImagesCode1
H2RBox: Horizontal Box Annotation is All You Need for Oriented Object DetectionCode1
CattleEyeView: A Multi-task Top-down View Cattle Dataset for Smarter Precision Livestock FarmingCode1
CBNet: A Composite Backbone Network Architecture for Object DetectionCode1
Deep High-Resolution Representation Learning for Human Pose EstimationCode1
Hard Negative Mixing for Contrastive LearningCode1
BoundarySqueeze: Image Segmentation as Boundary SqueezingCode1
Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological ImagesCode1
Boundary-preserving Mask R-CNNCode1
Guided Distillation for Semi-Supervised Instance SegmentationCode1
Instance As Identity: A Generic Online Paradigm for Video Instance SegmentationCode1
A Review of Panoptic Segmentation for Mobile Mapping Point CloudsCode1
Hi4D: 4D Instance Segmentation of Close Human InteractionCode1
CellVTA: Enhancing Vision Foundation Models for Accurate Cell Segmentation and ClassificationCode1
A Robust Feature Downsampling Module for Remote Sensing Visual TasksCode1
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANsCode1
CenterMask : Real-Time Anchor-Free Instance SegmentationCode1
CenterMask: Real-Time Anchor-Free Instance SegmentationCode1
DVIS: Decoupled Video Instance Segmentation FrameworkCode1
CenterPoly: real-time instance segmentation using bounding polygonsCode1
CentripetalNet: Pursuing High-quality Keypoint Pairs for Object DetectionCode1
An Instance Segmentation Dataset of Yeast Cells in MicrostructuresCode1
CEDNet: A Cascade Encoder-Decoder Network for Dense PredictionCode1
Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance SegmentationCode1
Boundary-assisted Region Proposal Networks for Nucleus SegmentationCode1
ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance SegmentationCode1
CHEX: CHannel EXploration for CNN Model CompressionCode1
CholecInstanceSeg: A Tool Instance Segmentation Dataset for Laparoscopic SurgeryCode1
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object DetectionCode1
A Comparative Evaluation of Deep Learning Techniques for Photovoltaic Panel Detection from Aerial ImagesCode1
DCT-Mask: Discrete Cosine Transform Mask Representation for Instance SegmentationCode1
CISCA and CytoDArk0: a Cell Instance Segmentation and Classification method for histo(patho)logical image Analyses and a new, open, Nissl-stained dataset for brain cytoarchitecture studiesCode1
Efficient Self-supervised Vision Pretraining with Local Masked ReconstructionCode1
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayersCode1
Classification Calibration for Long-tail Instance SegmentationCode1
GRIT: General Robust Image Task BenchmarkCode1
Classifying Breast Histopathology Images with a Ductal Instance-Oriented PipelineCode1
Decoupling Classifier for Boosting Few-shot Object Detection and Instance SegmentationCode1
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point CloudCode1
HistoSmith: Single-Stage Histology Image-Label Generation via Conditional Latent Diffusion for Enhanced Cell Segmentation and ClassificationCode1
ElC-OIS: Ellipsoidal Clustering for Open-World Instance Segmentation on LiDAR DataCode1
CLIP-VIS: Adapting CLIP for Open-Vocabulary Video Instance SegmentationCode1
InstantDL-An easy-to-use deep learning pipeline for image segmentation and classificationCode1
Embedding-based Instance Segmentation in MicroscopyCode1
ClusterFormer: Clustering As A Universal Visual LearnerCode1
End-to-End Referring Video Object Segmentation with Multimodal TransformersCode1
CycleMLP: A MLP-like Architecture for Dense PredictionCode1
Show:102550
← PrevPage 8 of 46Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-HAP5080.8Unverified
2ResNeSt-200 (multi-scale)AP5070.2Unverified
3CenterMask + VoVNetV2-99 (multi-scale)AP5066.2Unverified
4CenterMask + VoVNetV2-57 (single-scale)AP5060.8Unverified
5Co-DETRmask AP57.1Unverified
6CBNetV2 (EVA02, single-scale)mask AP56.1Unverified
7ISDA (ResNet-50)APL55.7Unverified
8EVAmask AP55.5Unverified
9FD-SwinV2-Gmask AP55.4Unverified
10Mask Frozen-DETRmask AP55.3Unverified
#ModelMetricClaimedVerifiedStatus
1InternImage-BGFLOPs501Unverified
2Co-DETRmask AP56.6Unverified
3ViT-CoMer-L (Mask RCNN, DINOv2)mask AP55.9Unverified
4InternImage-Hmask AP55.4Unverified
5EVAmask AP55Unverified
6Mask Frozen-DETRmask AP54.9Unverified
7MasK DINO (SwinL, multi-scale)mask AP54.5Unverified
8GLEE-Promask AP54.2Unverified
9ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2Unverified
10SwinV2-G (HTC++)mask AP53.7Unverified