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 12011225 of 2262 papers

TitleStatusHype
FLIC: Fast Lidar Image Clustering0
Fast Single-shot Ship Instance Segmentation Based on Polar Template Mask in Remote Sensing Images0
Multi-Scale Denoising in the Feature Space for Low-Light Instance Segmentation0
Feature Pyramid Transformer0
Few-shot adaptation for morphology-independent cell instance segmentation0
Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation0
FGN: Fully Guided Network for Few-Shot Instance Segmentation0
Fine-grained building roof instance segmentation based on domain adapted pretraining and composite dual-backbone0
FISBe: A Real-World Benchmark Dataset for Instance Segmentation of Long-Range Thin Filamentous Structures0
FisheyeDetNet: 360° Surround view Fisheye Camera based Object Detection System for Autonomous Driving0
FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching0
Forecasting Future Instance Segmentation with Learned Optical Flow and Warping0
Foreign object segmentation in chest x-rays through anatomy-guided shape insertion0
FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees0
FourierMask: Instance Segmentation using Fourier Mapping in Implicit Neural Networks0
FoxInst: A Frustratingly Simple Baseline for Weakly Few-shot Instance Segmentation0
FPCD: An Open Aerial VHR Dataset for Farm Pond Change Detection0
FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation0
Free Supervision From Video Games0
From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments0
Fruit Detection, Segmentation and 3D Visualisation of Environments in Apple Orchards0
FSD V2: Improving Fully Sparse 3D Object Detection with Virtual Voxels0
Fully-Automated Packaging Structure Recognition in Logistics Environments0
GANtruth - an unpaired image-to-image translation method for driving scenarios0
gen2seg: Generative Models Enable Generalizable Instance Segmentation0
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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