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 10511075 of 2262 papers

TitleStatusHype
A Novel Deep Learning Approach Featuring Graph-Based Algorithm for Cell Segmentation and TrackingCode0
EasyMLServe: Easy Deployment of REST Machine Learning ServicesCode0
Dynamic Multimodal Instance Segmentation guided by natural language queriesCode0
BoxSeg: Quality-Aware and Peer-Assisted Learning for Box-supervised Instance SegmentationCode0
One Step Learning, One Step ReviewCode0
Pixel-Level Analysis for Enhancing Threat Detection in Large-Scale X-ray Security ImagesCode0
Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingCode0
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
Drawing the Same Bounding Box Twice? Coping Noisy Annotations in Object Detection with Repeated LabelsCode0
Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance SegmentationCode0
Object discovery and representation networksCode0
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
Object Counting and Instance Segmentation with Image-level SupervisionCode0
One Shot Model For COVID-19 Classification and Lesions Segmentation In Chest CT Scans Using LSTM With Attention MechanismCode0
NOISe: Nuclei-Aware Osteoclast Instance Segmentation for Mouse-to-Human Domain TransferCode0
DiT: Efficient Vision Transformers with Dynamic Token RoutingCode0
NextStop: An Improved Tracker For Panoptic LIDAR Segmentation DataCode0
NOCTIS: Novel Object Cyclic Threshold based Instance SegmentationCode0
Distance to Center of Mass Encoding for Instance SegmentationCode0
An expert-driven data generation pipeline for histological imagesCode0
Neural Scene Decomposition for Multi-Person Motion CaptureCode0
One Shot Model For COVID-19 Classification and Lesions Segmentation In Chest CT Scans Using LSTM With Attention MechanismCode0
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imagingCode0
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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
8GLEE-Promask AP54.2Unverified
9ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2Unverified
10SwinV2-G (HTC++)mask AP53.7Unverified