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 351375 of 2262 papers

TitleStatusHype
CryoNuSeg: A Dataset for Nuclei Instance Segmentation of Cryosectioned H&E-Stained Histological ImagesCode1
Boundary-assisted Region Proposal Networks for Nucleus SegmentationCode1
A Comparative Evaluation of Deep Learning Techniques for Photovoltaic Panel Detection from Aerial ImagesCode1
Crossover Learning for Fast Online Video Instance SegmentationCode1
Cross-Layer Retrospective Retrieving via Layer AttentionCode1
CattleEyeView: A Multi-task Top-down View Cattle Dataset for Smarter Precision Livestock FarmingCode1
CBNet: A Composite Backbone Network Architecture for Object DetectionCode1
Cross-View Regularization for Domain Adaptive Panoptic SegmentationCode1
CTVIS: Consistent Training for Online Video Instance SegmentationCode1
Co-Scale Conv-Attentional Image TransformersCode1
Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological ImagesCode1
ConvMLP: Hierarchical Convolutional MLPs for VisionCode1
GAInS: Gradient Anomaly-aware Biomedical Instance SegmentationCode1
Contrastive Object-level Pre-training with Spatial Noise Curriculum LearningCode1
A Review of Panoptic Segmentation for Mobile Mapping Point CloudsCode1
ContrastMask: Contrastive Learning to Segment Every ThingCode1
CellVTA: Enhancing Vision Foundation Models for Accurate Cell Segmentation and ClassificationCode1
A Robust Feature Downsampling Module for Remote Sensing Visual TasksCode1
COVID-CT-Mask-Net: Prediction of COVID-19 from CT Scans Using Regional FeaturesCode1
CenterMask : Real-Time Anchor-Free Instance SegmentationCode1
CenterMask: Real-Time Anchor-Free Instance SegmentationCode1
Distribution Alignment: A Unified Framework for Long-tail Visual RecognitionCode1
Instance Semantic Segmentation Benefits from Generative Adversarial NetworksCode1
CentripetalNet: Pursuing High-quality Keypoint Pairs for Object DetectionCode1
BlockCopy: High-Resolution Video Processing with Block-Sparse Feature Propagation and Online PoliciesCode1
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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