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 2201–2250 of 2262 papers

TitleStatusHype
Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and CountingCode0
SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance SegmentationCode0
Single-Image Piece-wise Planar 3D Reconstruction via Associative EmbeddingCode0
Single Network Panoptic Segmentation for Street Scene UnderstandingCode0
A 3D Convolutional Approach to Spectral Object Segmentation in Space and TimeCode0
Single-Shot Lightweight Model For The Detection of Lesions And The Prediction of COVID-19 From Chest CT ScansCode0
A Spacecraft Dataset for Detection, Segmentation and Parts RecognitionCode0
A Simple Single-Scale Vision Transformer for Object Localization and Instance SegmentationCode0
Artificial Intelligence-driven Image Analysis of Bacterial Cells and BiofilmsCode0
Single-Stage Open-world Instance Segmentation with Cross-task Consistency RegularizationCode0
Learning Regional Purity for Instance Segmentation on 3D Point CloudsCode0
Learning Panoptic Segmentation from Instance ContoursCode0
U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical InstrumentCode0
Learning Instance Segmentation by InteractionCode0
Deep Leaf Segmentation Using Synthetic DataCode0
WSESeg: Introducing a Dataset for the Segmentation of Winter Sports Equipment with a Baseline for Interactive SegmentationCode0
Learning Instance Occlusion for Panoptic SegmentationCode0
SLoRD: Structural Low-Rank Descriptors for Shape Consistency in Vertebrae SegmentationCode0
3D-SIS: 3D Semantic Instance Segmentation of RGB-D ScansCode0
Slum Segmentation and Change Detection : A Deep Learning ApproachCode0
An Underwater Image Semantic Segmentation Method Focusing on Boundaries and a Real Underwater Scene Semantic Segmentation DatasetCode0
Unsupervised Spatio-temporal Latent Feature Clustering for Multiple-object Tracking and SegmentationCode0
SOCRATES: A Stereo Camera Trap for Monitoring of BiodiversityCode0
Deep Extreme Cut: From Extreme Points to Object SegmentationCode0
Learning deep structured active contours end-to-endCode0
Learning a Spatio-Temporal Embedding for Video Instance SegmentationCode0
LDA-AQU: Adaptive Query-guided Upsampling via Local Deformable AttentionCode0
Layered Embeddings for Amodal Instance SegmentationCode0
A novel Region of Interest Extraction Layer for Instance SegmentationCode0
SoftPQ: Robust Instance Segmentation Evaluation via Soft Matching and Tunable ThresholdsCode0
SOGNet: Scene Overlap Graph Network for Panoptic SegmentationCode0
Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory AnnotationsCode0
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom UpCode0
DARCNN: Domain Adaptive Region-based Convolutional Neural Network forUnsupervised Instance Segmentation in Biomedical ImagesCode0
Joint Representation Learning for Text and 3D Point CloudCode0
Iterative fully convolutional neural networks for automatic vertebra segmentation and identificationCode0
ISDA: Position-Aware Instance Segmentation with Deformable AttentionCode0
DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical ImagesCode0
SortedAP: Rethinking evaluation metrics for instance segmentationCode0
DAN-NucNet: A dual attention based framework for nuclei segmentation in cancer histology images under wild clinical conditionsCode0
IRNet: Instance Relation Network for Overlapping Cervical Cell SegmentationCode0
UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships through the Lens of Adversarial AttacksCode0
Inverse Image Frequency for Long-tailed Image RecognitionCode0
Instance Segmentation of Microscopic ForaminiferaCode0
Instance Segmentation of Biological Images Using Harmonic EmbeddingsCode0
3D Hierarchical Panoptic Segmentation in Real Orchard Environments Across Different SensorsCode0
Instance Segmentation for Whole Slide Imaging: End-to-End or Detect-Then-SegmentCode0
Instance Segmentation by Deep ColoringCode0
Instance Segmentation as Image Segmentation AnnotationCode0
CyclePose -- Leveraging Cycle-Consistency for Annotation-Free Nuclei Segmentation in Fluorescence MicroscopyCode0
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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