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 14761500 of 2262 papers

TitleStatusHype
Layout Aware Inpainting for Automated Furniture Removal in Indoor Scenes0
Cell tracking for live-cell microscopy using an activity-prioritized assignment strategyCode0
MGTUNet: An new UNet for colon nuclei instance segmentation and quantification0
Comparative analysis of deep learning approaches for AgNOR-stained cytology samples interpretation0
Deformably-Scaled Transposed Convolution0
Instance Segmentation with Cross-Modal Consistency0
Time-Space Transformers for Video Panoptic Segmentation0
Domain Adaptation for Unknown Image Distortions in Instance Segmentation0
K-means for unsupervised instance segmentation using a self-supervised transformer0
Diversified Dynamic Routing for Vision Tasks0
RNGDet++: Road Network Graph Detection by Transformer with Instance Segmentation and Multi-scale Features Enhancement0
D-InLoc++: Indoor Localization in Dynamic EnvironmentsCode0
A Dataset for Analysing Complex Document Layouts in the Digital Humanities and Its Evaluation with Krippendorff’s AlphaCode0
SOCRATES: A Stereo Camera Trap for Monitoring of BiodiversityCode0
Inverse Image Frequency for Long-tailed Image RecognitionCode0
Self-supervised Learning for Panoptic Segmentation of Multiple Fruit Flower SpeciesCode0
Exploring Target Representations for Masked AutoencodersCode0
SUNet: Scale-aware Unified Network for Panoptic Segmentation0
Automatic counting of mounds on UAV images: combining instance segmentation and patch-level correction0
SIAN: Style-Guided Instance-Adaptive Normalization for Multi-Organ Histopathology Image Synthesis0
Adversarial Stain Transfer to Study the Effect of Color Variation on Cell Instance Segmentation0
MAFormer: A Transformer Network with Multi-scale Attention Fusion for Visual Recognition0
Nuclei & Glands Instance Segmentation in Histology Images: A Narrative Review0
gSwin: Gated MLP Vision Model with Hierarchical Structure of Shifted Window0
Weakly Supervised Airway Orifice Segmentation in Video Bronchoscopy0
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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