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 16011625 of 2262 papers

TitleStatusHype
Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds0
Radio astronomical images object detection and segmentation: A benchmark on deep learning methods0
RangeSeg: Range-Aware Real Time Segmentation of 3D LiDAR Point Clouds0
Ranking pre-trained segmentation models for zero-shot transferability0
Rate-Distortion Theory in Coding for Machines and its Application0
Real-Time Fruit Recognition and Grasping Estimation for Autonomous Apple Harvesting0
Real-time GeoAI for High-resolution Mapping and Segmentation of Arctic Permafrost Features0
Real-time Instance Segmentation of Surgical Instruments using Attention and Multi-scale Feature Fusion0
Real-time Ship Recognition and Georeferencing for the Improvement of Maritime Situational Awareness0
Real-world Mapping of Gaze Fixations Using Instance Segmentation for Road Construction Safety Applications0
Reasoning3D -- Grounding and Reasoning in 3D: Fine-Grained Zero-Shot Open-Vocabulary 3D Reasoning Part Segmentation via Large Vision-Language Models0
Prompt-Driven Building Footprint Extraction in Aerial Images with Offset-Building Model0
Recurrent Instance Segmentation0
Recurrent Instance Segmentation using Sequences of Referring Expressions0
Recursive Cross-View: Use Only 2D Detectors to Achieve 3D Object Detection without 3D Annotations0
REFINE: Prediction Fusion Network for Panoptic Segmentation0
RefineVIS: Video Instance Segmentation with Temporal Attention Refinement0
Label-Efficient Object Detection via Region Proposal Network Pre-Training0
Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images0
Reinforced Coloring for End-to-End Instance Segmentation0
Reinforcement learning for instance segmentation with high-level priors0
Re:PolyWorld - A Graph Neural Network for Polygonal Scene Parsing0
RepSNet: A Nucleus Instance Segmentation model based on Boundary Regression and Structural Re-parameterization0
Rescan: Inductive Instance Segmentation for Indoor RGBD Scans0
Resolving Inconsistent Semantics in Multi-Dataset Image 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