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 876900 of 2262 papers

TitleStatusHype
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