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

Showing 851900 of 2262 papers

TitleStatusHype
Union-over-Intersections: Object Detection beyond Winner-Takes-AllCode0
JSNet: Joint Instance and Semantic Segmentation of 3D Point CloudsCode0
Is Heuristic Sampling Necessary in Training Deep Object Detectors?Code0
Rethinking Normalization and Elimination Singularity in Neural NetworksCode0
Attentive NormalizationCode0
Affinity Derivation and Graph Merge for Instance SegmentationCode0
Collaborative Propagation on Multiple Instance Graphs for 3D Instance Segmentation with Single-point SupervisionCode0
Horticultural Temporal Fruit Monitoring via 3D Instance Segmentation and Re-Identification using Point CloudsCode0
Attention-Guided Residual U-Net with SE Connection and ASPP for Watershed-Based Cell Segmentation in Microscopy ImagesCode0
HistoNet: Predicting size histograms of object instancesCode0
Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingCode0
A Feasible Framework for Arbitrary-Shaped Scene Text RecognitionCode0
Recurrent Neural Networks for Semantic Instance SegmentationCode0
Recurrent Pixel Embedding for Instance GroupingCode0
Attend to Who You Are: Supervising Self-Attention for Keypoint Detection and Instance-Aware AssociationCode0
Conditional Negative Sampling for Contrastive Learning of Visual RepresentationsCode0
Real-time instance segmentation with polygons using an Intersection-over-Union lossCode0
Harmony: A Joint Self-Supervised and Weakly-Supervised Framework for Learning General Purpose Visual RepresentationsCode0
Relevance Attack on DetectorsCode0
Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized ProteinsCode0
HaDR: Applying Domain Randomization for Generating Synthetic Multimodal Dataset for Hand Instance Segmentation in Cluttered Industrial EnvironmentsCode0
Rapid Automated Mapping of Clouds on Titan With Instance SegmentationCode0
RDCNet: Instance segmentation with a minimalist recurrent residual networkCode0
Rain Removal in Traffic Surveillance: Does it Matter?Code0
Heuristical Comparison of Vision Transformers Against Convolutional Neural Networks for Semantic Segmentation on Remote Sensing ImageryCode0
RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance SegmentationCode0
GRAtt-VIS: Gated Residual Attention for Auto Rectifying Video Instance SegmentationCode0
Hiera: A Hierarchical Vision Transformer without the Bells-and-WhistlesCode0
Pyramid Mask Text DetectorCode0
PWISeg: Point-based Weakly-supervised Instance Segmentation for Surgical InstrumentsCode0
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery DocumentationCode0
Grape detection, segmentation and tracking using deep neural networks and three-dimensional associationCode0
Gramian Attention Heads are Strong yet Efficient Vision LearnersCode0
Prompting Vision-Language Model for Nuclei Instance Segmentation and ClassificationCode0
Prohibited Items Segmentation via Occlusion-aware Bilayer ModelingCode0
Predicting Future Instance Segmentation by Forecasting Convolutional FeaturesCode0
4D Generic Video Object ProposalsCode0
GMT: Guided Mask Transformer for Leaf Instance SegmentationCode0
Pose2Seg: Detection Free Human Instance SegmentationCode0
PotatoGANs: Utilizing Generative Adversarial Networks, Instance Segmentation, and Explainable AI for Enhanced Potato Disease Identification and ClassificationCode0
Common3D: Self-Supervised Learning of 3D Morphable Models for Common Objects in Neural Feature SpaceCode0
PPR-Net:Point-wise Pose Regression Network for Instance Segmentation and 6D Pose Estimation in Bin-picking ScenariosCode0
Polyp-SES: Automatic Polyp Segmentation with Self-Enriched Semantic ModelCode0
Geometry-Aware Instance Segmentation with Disparity MapsCode0
PolyTransform: Deep Polygon Transformer for Instance SegmentationCode0
Precise Location Matching Improves Dense Contrastive Learning in Digital PathologyCode0
ColorMAE: Exploring data-independent masking strategies in Masked AutoEncodersCode0
Pixelwise Instance Segmentation with a Dynamically Instantiated NetworkCode0
Generator evaluator-selector net for panoptic image segmentation and splitting unfamiliar objects into partsCode0
COIN: Confidence Score-Guided Distillation for Annotation-Free Cell SegmentationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-HAP5080.8Unverified
2ResNeSt-200 (multi-scale)AP5070.2Unverified
3CenterMask + VoVNetV2-99 (multi-scale)AP5066.2Unverified
4CenterMask + VoVNetV2-57 (single-scale)AP5060.8Unverified
5Co-DETRmask AP57.1Unverified
6CBNetV2 (EVA02, single-scale)mask AP56.1Unverified
7ISDA (ResNet-50)APL55.7Unverified
8EVAmask AP55.5Unverified
9FD-SwinV2-Gmask AP55.4Unverified
10Mask Frozen-DETRmask AP55.3Unverified
#ModelMetricClaimedVerifiedStatus
1InternImage-BGFLOPs501Unverified
2Co-DETRmask AP56.6Unverified
3ViT-CoMer-L (Mask RCNN, DINOv2)mask AP55.9Unverified
4InternImage-Hmask AP55.4Unverified
5EVAmask AP55Unverified
6Mask Frozen-DETRmask AP54.9Unverified
7MasK DINO (SwinL, multi-scale)mask AP54.5Unverified
8ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2Unverified
9GLEE-Promask AP54.2Unverified
10SwinV2-G (HTC++)mask AP53.7Unverified