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 11261150 of 2262 papers

TitleStatusHype
Deployment and Analysis of Instance Segmentation Algorithm for In-field Grade Estimation of Sweetpotatoes0
Depth-Guided Semi-Supervised Instance Segmentation0
Descriptive Modeling of Textiles using FE Simulations and Deep Learning0
Descriptor-Free Multi-View Region Matching for Instance-Wise 3D Reconstruction0
Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation0
Detailed Evaluation of Modern Machine Learning Approaches for Optic Plastics Sorting0
DetectFusion: Detecting and Segmenting Both Known and Unknown Dynamic Objects in Real-time SLAM0
Detecting Reflections by Combining Semantic and Instance Segmentation0
Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning0
DetNet: Design Backbone for Object Detection0
DFGET: Displacement-Field Assisted Graph Energy Transmitter for Gland Instance Segmentation0
Dilated SpineNet for Semantic Segmentation0
Dimensions of Motion: Monocular Prediction through Flow Subspaces0
DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines0
Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation0
Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN0
Diversified Dynamic Routing for Vision Tasks0
DIY Graphics Tab: A Cost-Effective Alternative to Graphics Tablet for Educators0
DMSANet: Dual Multi Scale Attention Network0
Domain Adaptation for Unknown Image Distortions in Instance Segmentation0
Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling0
DOT: Dynamic Object Tracking for Visual SLAM0
D-PLS: Decoupled Semantic Segmentation for 4D-Panoptic-LiDAR-Segmentation0
DPPD: Deformable Polar Polygon Object Detection0
DQFormer: Towards Unified LiDAR Panoptic Segmentation with Decoupled Queries0
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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