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 11011125 of 2262 papers

TitleStatusHype
DeVIS: Making Deformable Transformers Work for Video Instance SegmentationCode1
In Defense of Online Models for Video Instance SegmentationCode2
NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds0
Self-Supervised Interactive Object Segmentation Through a Singulation-and-Grasping Approach0
Box-supervised Instance Segmentation with Level Set EvolutionCode2
Vision Transformers: From Semantic Segmentation to Dense PredictionCode3
KinD-LCE Curve Estimation And Retinex Fusion On Low-Light Image0
3D Instances as 1D KernelsCode1
Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos0
3D Concept Grounding on Neural Fields0
YOLO2U-Net: Detection-Guided 3D Instance Segmentation for Microscopy0
Online Video Instance Segmentation via Robust Context Fusion0
Wave-ViT: Unifying Wavelet and Transformers for Visual Representation LearningCode2
Efficient Multi-Task RGB-D Scene Analysis for Indoor EnvironmentsCode1
A Mask Attention Interaction and Scale Enhancement Network for SAR Ship Instance Segmentation0
An Embedding-Dynamic Approach to Self-supervised Learning0
OSFormer: One-Stage Camouflaged Instance Segmentation with TransformersCode1
Segmenting Moving Objects via an Object-Centric Layered RepresentationCode1
Vision-based Uneven BEV Representation Learning with Polar Rasterization and Surface EstimationCode1
A Survey on Label-efficient Deep Image Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction0
Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling0
Beyond mAP: Towards better evaluation of instance segmentation0
InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance SegmentationCode0
UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer via Hierarchical Mask Calibration0
BoxGraph: Semantic Place Recognition and Pose Estimation from 3D LiDAR0
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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