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 10761100 of 2262 papers

TitleStatusHype
FSD V2: Improving Fully Sparse 3D Object Detection with Virtual Voxels0
Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures0
Fruit Detection, Segmentation and 3D Visualisation of Environments in Apple Orchards0
Assessing SAM for Tree Crown Instance Segmentation from Drone Imagery0
From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments0
A Dataset for Lane Instance Segmentation in Urban Environments0
3D-Aware Instance Segmentation and Tracking in Egocentric Videos0
Mask-free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations0
Joint Object Contour Points and Semantics for Instance Segmentation0
1st Place Winner of the 2024 Pixel-level Video Understanding in the Wild (CVPR'24 PVUW) Challenge in Video Panoptic Segmentation and Best Long Video Consistency of Video Semantic Segmentation0
Free Supervision From Video Games0
CloudTracks: A Dataset for Localizing Ship Tracks in Satellite Images of Clouds0
MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation0
FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation0
Close the Sim2real Gap via Physically-based Structured Light Synthetic Data Simulation0
FPCD: An Open Aerial VHR Dataset for Farm Pond Change Detection0
RevealNet: Seeing Behind Objects in RGB-D Scans0
FoxInst: A Frustratingly Simple Baseline for Weakly Few-shot Instance Segmentation0
ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis0
3D Segmentation of Humans in Point Clouds with Synthetic Data0
FourierMask: Instance Segmentation using Fourier Mapping in Implicit Neural Networks0
ClickSeg: 3D Instance Segmentation with Click-Level Weak Annotations0
Mask3D: Pre-training 2D Vision Transformers by Learning Masked 3D Priors0
FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees0
A Data-efficient Framework for Robotics Large-scale LiDAR Scene Parsing0
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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