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 16761700 of 2262 papers

TitleStatusHype
Prior to Segment: Foreground Cues for Weakly Annotated Classes in Partially Supervised Instance SegmentationCode1
Scaling Wide Residual Networks for Panoptic Segmentation0
3D Registration for Self-Occluded Objects in Context0
One Metric to Measure them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection TasksCode1
Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized ProteinsCode0
DCT-Mask: Discrete Cosine Transform Mask Representation for Instance SegmentationCode1
Unifying Instance and Panoptic Segmentation with Dynamic Rank-1 Convolutions0
Attention-Based Transformers for Instance Segmentation of Cells in MicrostructuresCode1
Dense Contrastive Learning for Self-Supervised Visual Pre-TrainingCode1
SeekNet: Improved Human Instance Segmentation and Tracking via Reinforcement Learning Based Optimized Robot Relocation0
Towards Efficient Scene Understanding via Squeeze ReasoningCode1
Lightweight Model For The Prediction of COVID-19 Through The Detection And Segmentation of Lesions in Chest CT ScansCode1
Learning Regional Purity for Instance Segmentation on 3D Point CloudsCode0
ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis0
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic SegmentationCode1
Panoster: End-to-end Panoptic Segmentation of LiDAR Point Clouds0
Perception for Autonomous Systems (PAZ)Code1
Instance Semantic Segmentation Benefits from Generative Adversarial NetworksCode1
Detection and Segmentation of Lesion Areas in Chest CT Scans For The Prediction of COVID-19Code1
Amodal Segmentation through Out-of-Task and Out-of-Distribution Generalization with a Bayesian ModelCode1
2nd Place Solution to Instance Segmentation of IJCAI 3D AI Challenge 20200
AutoBSS: An Efficient Algorithm for Block Stacking Style Search0
TTPLA: An Aerial-Image Dataset for Detection and Segmentation of Transmission Towers and Power LinesCode1
Multi-Stage Fusion for One-Click Segmentation0
Localized Interactive Instance Segmentation0
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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