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 1401–1450 of 2262 papers

TitleStatusHype
SMAC-Seg: LiDAR Panoptic Segmentation via Sparse Multi-directional Attention Clustering—0
LIVECell—A large-scale dataset for label-free live cell segmentationCode1
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating roomCode0
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision—0
ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation—0
An Underwater Image Semantic Segmentation Method Focusing on Boundaries and a Real Underwater Scene Semantic Segmentation DatasetCode0
Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification—0
A Weakly Supervised Amodal Segmenter with Boundary Uncertainty EstimationCode1
Image coding for machines: an end-to-end learned approach—0
Tensor Pooling Driven Instance Segmentation Framework for Baggage Threat RecognitionCode0
Palmira: A Deep Deformable Network for Instance Segmentation of Dense and Uneven Layouts in Handwritten ManuscriptsCode0
BlockCopy: High-Resolution Video Processing with Block-Sparse Feature Propagation and Online PoliciesCode1
CenterPoly: real-time instance segmentation using bounding polygonsCode1
Instance Segmentation in 3D Scenes using Semantic Superpoint Tree NetworksCode1
Exploring Classification Equilibrium in Long-Tailed Object DetectionCode1
Towards unconstrained joint hand-object reconstruction from RGB videosCode1
Real-time Human-Centric Segmentation for Complex Video ScenesCode1
SOTR: Segmenting Objects with TransformersCode1
UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships through the Lens of Adversarial AttacksCode0
AI-based thermal bridge detection of building rooftops on district scale using aerial images—0
LeafMask: Towards Greater Accuracy on Leaf SegmentationCode1
Semantic Segmentation and Object Detection Towards Instance Segmentation: Breast Tumor Identification—0
Hierarchical Aggregation for 3D Instance SegmentationCode1
A Low Rank Promoting Prior for Unsupervised Contrastive Learning—0
Detectron2 Object Detection & Manipulating Images using CartoonizationCode4
CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale AttentionCode1
Improving Video Instance Segmentation via Temporal Pyramid RoutingCode1
Improved-Mask R-CNN: Towards an Accurate Generic MSK MRI instance segmentation platform (Data from the Osteoarthritis Initiative)—0
Continental-Scale Building Detection from High Resolution Satellite Imagery—0
Contextual Transformer Networks for Visual RecognitionCode1
Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images—0
Rank & Sort Loss for Object Detection and Instance SegmentationCode1
CycleMLP: A MLP-like Architecture for Dense PredictionCode1
Improving Mask R-CNN for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological ImagesCode1
Instance Segmentation of Multiple Myeloma Cells via Hybrid Task Cascade—0
Exploring Set Similarity for Dense Self-supervised Representation Learning—0
Dynamic Convolution for 3D Point Cloud Instance SegmentationCode1
Unsupervised Anomaly Instance Segmentation for Baggage Threat RecognitionCode0
Amodal segmentation just like doing a jigsaw—0
MeNToS: Tracklets Association with a Space-Time Memory Network—0
Deep Learning based Food Instance Segmentation using Synthetic DataCode1
Visual Parser: Representing Part-whole Hierarchies with TransformersCode1
NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter ScaleCode1
Locally Enhanced Self-Attention: Combining Self-Attention and Convolution as Local and Context TermsCode1
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical RegionsCode0
SE-PSNet: Silhouette-based Enhancement Feature for Panoptic Segmentation Network—0
Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation—0
Capturing, Reconstructing, and Simulating: the UrbanScene3D DatasetCode1
HIDA: Towards Holistic Indoor Understanding for the Visually Impaired via Semantic Instance Segmentation with a Wearable Solid-State LiDAR Sensor—0
Learning Stixel-based Instance Segmentation—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