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

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Showing 701–750 of 2262 papers

TitleStatusHype
PSGformer: Enhancing 3D Point Cloud Instance Segmentation via Precise Semantic Guidance—0
MPDIoU: A Loss for Efficient and Accurate Bounding Box Regression—0
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 grounding—0
Non-Hierarchical Transformers for Pedestrian Segmentation—0
Marine Debris Detection in Satellite Surveillance using Attention Mechanisms—0
Towards accurate instance segmentation in large-scale LiDAR point cloudsCode1
Base Layer Efficiency in Scalable Human-Machine Coding—0
EffSeg: Efficient Fine-Grained Instance Segmentation using Structure-Preserving SparsityCode0
Learning Degradation-Independent Representations for Camera ISP Pipelines—0
Surgical fine-tuning for Grape Bunch Segmentation under Visual Domain ShiftsCode0
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency—0
MobileViG: Graph-Based Sparse Attention for Mobile Vision ApplicationsCode1
M3Act: Learning from Synthetic Human Group Activities—0
Learning Nuclei Representations with Masked Image Modelling—0
RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation ModelCode2
High-Quality Unknown Object Instance Segmentation via Quadruple Boundary Error RefinementCode1
Incremental Learning on Food Instance Segmentation—0
NCIS: Deep Color Gradient Maps Regression and Three-Class Pixel Classification for Enhanced Neuronal Cell Instance Segmentation in Nissl-Stained Histological Images—0
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 Images—0
Faster Segment Anything: Towards Lightweight SAM for Mobile ApplicationsCode5
The Second-place Solution for CVPR VISION 23 Challenge Track 1 -- Data Effificient Defect DetectionCode0
OpenMask3D: Open-Vocabulary 3D Instance SegmentationCode2
Segmentation and Tracking of Vegetable Plants by Exploiting Vegetable Shape Feature for Precision Spray of Agricultural RobotsCode1
Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning—0
Inter-Instance Similarity Modeling for Contrastive LearningCode1
Fast Segment AnythingCode0
Concavity-Induced Distance for Unoriented Point Cloud Decomposition—0
Primitive Generation and Semantic-related Alignment for Universal Zero-Shot SegmentationCode1
Enhanced Masked Image Modeling for Analysis of Dental Panoramic RadiographsCode0
Vehicle Occurrence-based Parking Space Detection—0
Zero-Shot Anomaly Detection with Pre-trained Segmentation Models—0
VISION Datasets: A Benchmark for Vision-based InduStrial InspectiONCode1
Revisiting Token Pruning for Object Detection and Instance SegmentationCode1
3rd Place Solution for PVUW Challenge 2023: Video Panoptic Segmentation—0
How Object Information Improves Skeleton-based Human Action Recognition in Assembly Tasks—0
A Dynamic Feature Interaction Framework for Multi-task Visual Perception—0
Real-time GeoAI for High-resolution Mapping and Segmentation of Arctic Permafrost Features—0
Does Image Anonymization Impact Computer Vision Training?Code2
RefineVIS: Video Instance Segmentation with Temporal Attention Refinement—0
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive FusionCode1
PhenoBench -- A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural DomainCode1
DFormer: Diffusion-guided Transformer for Universal Image SegmentationCode1
DVIS: Decoupled Video Instance Segmentation FrameworkCode1
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance SegmentationCode1
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All datasetsCOCO test-devCOCO minivalLVIS v1.0 valCityscapes valADE20K valARMBenchOccluded COCOOoDISSeparated COCOTBBRBDD100K valCOCO val (panoptic labels)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-HAP5080.8—Unverified
2ResNeSt-200 (multi-scale)AP5070.2—Unverified
3CenterMask + VoVNetV2-99 (multi-scale)AP5066.2—Unverified
4CenterMask + VoVNetV2-57 (single-scale)AP5060.8—Unverified
5Co-DETRmask AP57.1—Unverified
6CBNetV2 (EVA02, single-scale)mask AP56.1—Unverified
7ISDA (ResNet-50)APL55.7—Unverified
8EVAmask AP55.5—Unverified
9FD-SwinV2-Gmask AP55.4—Unverified
10Mask Frozen-DETRmask AP55.3—Unverified
#ModelMetricClaimedVerifiedStatus
1InternImage-BGFLOPs501—Unverified
2Co-DETRmask AP56.6—Unverified
3ViT-CoMer-L (Mask RCNN, DINOv2)mask AP55.9—Unverified
4InternImage-Hmask AP55.4—Unverified
5EVAmask AP55—Unverified
6Mask Frozen-DETRmask AP54.9—Unverified
7MasK DINO (SwinL, multi-scale)mask AP54.5—Unverified
8ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2—Unverified
9GLEE-Promask AP54.2—Unverified
10SwinV2-G (HTC++)mask AP53.7—Unverified