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 701725 of 2262 papers

TitleStatusHype
PSGformer: Enhancing 3D Point Cloud Instance Segmentation via Precise Semantic Guidance0
MPDIoU: A Loss for Efficient and Accurate Bounding Box Regression0
SynTable: A Synthetic Data Generation Pipeline for Unseen Object Amodal Instance Segmentation of Cluttered Tabletop ScenesCode1
AnyStar: Domain randomized universal star-convex 3D instance segmentationCode1
WaterScenes: A Multi-Task 4D Radar-Camera Fusion Dataset and Benchmarks for Autonomous Driving on Water SurfacesCode1
SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital PathologyCode1
OG: Equip vision occupancy with instance segmentation and visual grounding0
Non-Hierarchical Transformers for Pedestrian Segmentation0
Marine Debris Detection in Satellite Surveillance using Attention Mechanisms0
Towards accurate instance segmentation in large-scale LiDAR point cloudsCode1
Base Layer Efficiency in Scalable Human-Machine Coding0
EffSeg: Efficient Fine-Grained Instance Segmentation using Structure-Preserving SparsityCode0
Learning Degradation-Independent Representations for Camera ISP Pipelines0
Surgical fine-tuning for Grape Bunch Segmentation under Visual Domain ShiftsCode0
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency0
MobileViG: Graph-Based Sparse Attention for Mobile Vision ApplicationsCode1
M3Act: Learning from Synthetic Human Group Activities0
Learning Nuclei Representations with Masked Image Modelling0
High-Quality Unknown Object Instance Segmentation via Quadruple Boundary Error RefinementCode1
RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation ModelCode2
Incremental Learning on Food Instance Segmentation0
NCIS: Deep Color Gradient Maps Regression and Three-Class Pixel Classification for Enhanced Neuronal Cell Instance Segmentation in Nissl-Stained Histological Images0
CellViT: Vision Transformers for Precise Cell Segmentation and ClassificationCode2
PANet: LiDAR Panoptic Segmentation with Sparse Instance Proposal and AggregationCode1
A Fully Unsupervised Instance Segmentation Technique for White Blood Cell Images0
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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