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 201250 of 2262 papers

TitleStatusHype
DenseCLIP: Language-Guided Dense Prediction with Context-Aware PromptingCode1
Deformable ConvNets v2: More Deformable, Better ResultsCode1
Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance SegmentationCode1
Dense Contrastive Learning for Self-Supervised Visual Pre-TrainingCode1
A Structure-Aware Relation Network for Thoracic Diseases Detection and SegmentationCode1
Detect, consolidate, delineate: scalable mapping of field boundaries using satellite imagesCode1
A Survey of Self-Supervised and Few-Shot Object DetectionCode1
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale AmbiguitiesCode1
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask LearningCode1
DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality AnnotationsCode1
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayersCode1
Asymmetric Patch Sampling for Contrastive LearningCode1
Benchmarking Self-Supervised Learning on Diverse Pathology DatasetsCode1
Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance SegmentationCode1
Deep Structured Instance Graph for Distilling Object DetectorsCode1
1st Place Solutions for OpenImage2019 -- Object Detection and Instance SegmentationCode1
BlendMask: Top-Down Meets Bottom-Up for Instance SegmentationCode1
Distilling Knowledge via Knowledge ReviewCode1
Deep Learning based Food Instance Segmentation using Synthetic DataCode1
Attention-Based Transformers for Instance Segmentation of Cells in MicrostructuresCode1
Deep-learning in the bioimaging wild: Handling ambiguous data with deepflash2Code1
Deep Variational Instance SegmentationCode1
Detection and Segmentation of Lesion Areas in Chest CT Scans For The Prediction of COVID-19Code1
Learning Dynamic Query Combinations for Transformer-based Object Detection and SegmentationCode1
Exploring The Role of Mean Teachers in Self-supervised Masked Auto-EncodersCode1
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object DetectionCode1
DropLoss for Long-Tail Instance SegmentationCode1
DVIS: Decoupled Video Instance Segmentation FrameworkCode1
AugmenTory: A Fast and Flexible Polygon Augmentation LibraryCode1
DyCo3D: Robust Instance Segmentation of 3D Point Clouds through Dynamic ConvolutionCode1
ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance SegmentationCode1
D2Det: Towards High Quality Object Detection and Instance SegmentationCode1
AggMask: Exploring locally aggregated learning of mask representations for instance segmentationCode1
EDAPS: Enhanced Domain-Adaptive Panoptic SegmentationCode1
CTVIS: Consistent Training for Online Video Instance SegmentationCode1
CycleMLP: A MLP-like Architecture for Dense PredictionCode1
Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point CloudsCode1
Efficient Multi-Task RGB-D Scene Analysis for Indoor EnvironmentsCode1
Automated Classification of Cell Shapes: A Comparative Evaluation of Shape DescriptorsCode1
Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image EncodingCode1
Eigencontours: Novel Contour Descriptors Based on Low-Rank ApproximationCode1
ElC-OIS: Ellipsoidal Clustering for Open-World Instance Segmentation on LiDAR DataCode1
A Robust Feature Downsampling Module for Remote Sensing Visual TasksCode1
EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance SegmentationCode1
End-to-End Referring Video Object Segmentation with Multimodal TransformersCode1
End-to-End Semi-Supervised Object Detection with Soft TeacherCode1
AIO-P: Expanding Neural Performance Predictors Beyond Image ClassificationCode1
EPSNet: Efficient Panoptic Segmentation Network with Cross-layer Attention FusionCode1
Evaluation Study on SAM 2 for Class-agnostic Instance-level SegmentationCode1
CryoNuSeg: A Dataset for Nuclei Instance Segmentation of Cryosectioned H&E-Stained Histological ImagesCode1
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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
8ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2Unverified
9GLEE-Promask AP54.2Unverified
10SwinV2-G (HTC++)mask AP53.7Unverified