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 1301–1350 of 2262 papers

TitleStatusHype
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
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
M3Act: Learning from Synthetic Human Group Activities—0
Learning Nuclei Representations with Masked Image Modelling—0
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
A Fully Unsupervised Instance Segmentation Technique for White Blood Cell Images—0
The Second-place Solution for CVPR VISION 23 Challenge Track 1 -- Data Effificient Defect DetectionCode0
Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning—0
Fast Segment AnythingCode0
Concavity-Induced Distance for Unoriented Point Cloud Decomposition—0
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
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
RefineVIS: Video Instance Segmentation with Temporal Attention Refinement—0
OAFormer: Learning Occlusion Distinguishable Feature for Amodal Instance Segmentation—0
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model—0
Hiera: A Hierarchical Vision Transformer without the Bells-and-WhistlesCode0
ConES: Concept Embedding Search for Parameter Efficient Tuning Large Vision Language Models—0
Independent Component Alignment for Multi-Task Learning—0
Human Body Shape Classification Based on a Single Image—0
ZeroPose: CAD-Prompted Zero-shot Object 6D Pose Estimation in Cluttered Scenes—0
GRAtt-VIS: Gated Residual Attention for Auto Rectifying Video Instance SegmentationCode0
Linear Object Detection in Document Images using Multiple Object Tracking—0
Rate-Distortion Theory in Coding for Machines and its Application—0
Sampling-based Uncertainty Estimation for an Instance Segmentation Network—0
Streaming Object Detection on Fisheye Cameras for Automatic Parking—0
M^6Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout AnalysisCode0
ROI-based Deep Image Compression with Swin Transformers—0
Self-Supervised Instance Segmentation by Grasping—0
Real-time instance segmentation with polygons using an Intersection-over-Union lossCode0
Segmentation of the veterinary cytological images for fast neoplastic tumors diagnosis—0
UrbanBIS: a Large-scale Benchmark for Fine-grained Urban Building Instance Segmentation—0
Point2Tree(P2T) -- framework for parameter tuning of semantic and instance segmentation used with mobile laser scanning data in coniferous forest—0
HAISTA-NET: Human Assisted Instance Segmentation Through Attention—0
Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN—0
Sensor Equivariance by LiDAR Projection Images—0
Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art—0
Ensembling Instance and Semantic Segmentation for Panoptic Segmentation—0
Baybayin Character Instance Detection—0
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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