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 1051–1100 of 2262 papers

TitleStatusHype
A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband ItemsCode0
A Novel Deep Learning Approach Featuring Graph-Based Algorithm for Cell Segmentation and TrackingCode0
EasyMLServe: Easy Deployment of REST Machine Learning ServicesCode0
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic SegmentationCode0
Dynamic Multimodal Instance Segmentation guided by natural language queriesCode0
Panoptic-DeepLabCode0
Panoptic Lintention Network: Towards Efficient Navigational Perception for the Visually ImpairedCode0
BoxSeg: Quality-Aware and Peer-Assisted Learning for Box-supervised Instance SegmentationCode0
Precise Location Matching Improves Dense Contrastive Learning in Digital PathologyCode0
Is Heuristic Sampling Necessary in Training Deep Object Detectors?Code0
Dual Thinking and Logical Processing -- Are Multi-modal Large Language Models Closing the Gap with Human Vision ?Code0
Annolid: Annotate, Segment, and Track Anything You NeedCode0
Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped AttentionCode0
Drawing the Same Bounding Box Twice? Coping Noisy Annotations in Object Detection with Repeated LabelsCode0
An interpretable automated detection system for FISH-based HER2 oncogene amplification testing in histo-pathological routine images of breast and gastric cancer diagnosticsCode0
Domain Randomization for Scene-Specific Car Detection and Pose EstimationCode0
Palmira: A Deep Deformable Network for Instance Segmentation of Dense and Uneven Layouts in Handwritten ManuscriptsCode0
One-stage Video Instance Segmentation: From Frame-in Frame-out to Clip-in Clip-outCode0
One Step Learning, One Step ReviewCode0
One Shot Model For COVID-19 Classification and Lesions Segmentation In Chest CT Scans Using LSTM With Attention MechanismCode0
DiT: Efficient Vision Transformers with Dynamic Token RoutingCode0
One Shot Model For COVID-19 Classification and Lesions Segmentation In Chest CT Scans Using LSTM With Attention MechanismCode0
Distance to Center of Mass Encoding for Instance SegmentationCode0
An expert-driven data generation pipeline for histological imagesCode0
One Shot Model For The Prediction of COVID-19 and Lesions Segmentation In Chest CT Scans Through The Affinity Among Lesion Mask FeaturesCode0
Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance SegmentationCode0
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imagingCode0
D-InLoc++: Indoor Localization in Dynamic EnvironmentsCode0
Object Counting and Instance Segmentation with Image-level SupervisionCode0
BLVD: Building A Large-scale 5D Semantics Benchmark for Autonomous DrivingCode0
Object discovery and representation networksCode0
DetNet: A Backbone network for Object DetectionCode0
Detection of Tumour Infiltrating Lymphocytes in CD3 and CD8 Stained Histopathological Images using a Two-Phase Deep CNNCode0
NOISe: Nuclei-Aware Osteoclast Instance Segmentation for Mouse-to-Human Domain TransferCode0
Bimodal SegNet: Instance Segmentation Fusing Events and RGB Frames for Robotic GraspingCode0
NextStop: An Improved Tracker For Panoptic LIDAR Segmentation DataCode0
Neural Scene Decomposition for Multi-Person Motion CaptureCode0
NOCTIS: Novel Object Cyclic Threshold based Instance SegmentationCode0
Mushroom Segmentation and 3D Pose Estimation from Point Clouds using Fully Convolutional Geometric Features and Implicit Pose EncodingCode0
A MultiPath Network for Object DetectionCode0
ENSTRECT: A Stage-based Approach to 2.5D Structural Damage DetectionCode0
MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous DrivingCode0
Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding BoxesCode0
Multi-task Planar Reconstruction with Feature Warping GuidanceCode0
MSN: Efficient Online Mask Selection Network for Video Instance SegmentationCode0
Monocular Depth Estimation Using Cues Inspired by Biological Vision SystemsCode0
Amodal Instance Segmentation With KINS DatasetCode0
Deformable VisTR: Spatio temporal deformable attention for video instance segmentationCode0
BERTgrid: Contextualized Embedding for 2D Document Representation and UnderstandingCode0
Deep Watershed Transform for Instance SegmentationCode0
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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