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

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Showing 1951–2000 of 2262 papers

TitleStatusHype
Query Refinement Transformer for 3D Instance Segmentation—0
Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds—0
Radio astronomical images object detection and segmentation: A benchmark on deep learning methods—0
RangeSeg: Range-Aware Real Time Segmentation of 3D LiDAR Point Clouds—0
Ranking pre-trained segmentation models for zero-shot transferability—0
Rate-Distortion Theory in Coding for Machines and its Application—0
Real-Time Fruit Recognition and Grasping Estimation for Autonomous Apple Harvesting—0
Real-time GeoAI for High-resolution Mapping and Segmentation of Arctic Permafrost Features—0
Real-time Instance Segmentation of Surgical Instruments using Attention and Multi-scale Feature Fusion—0
Real-time Ship Recognition and Georeferencing for the Improvement of Maritime Situational Awareness—0
Real-world Mapping of Gaze Fixations Using Instance Segmentation for Road Construction Safety Applications—0
Reasoning3D -- Grounding and Reasoning in 3D: Fine-Grained Zero-Shot Open-Vocabulary 3D Reasoning Part Segmentation via Large Vision-Language Models—0
Prompt-Driven Building Footprint Extraction in Aerial Images with Offset-Building Model—0
Recurrent Instance Segmentation—0
Recurrent Instance Segmentation using Sequences of Referring Expressions—0
Recursive Cross-View: Use Only 2D Detectors to Achieve 3D Object Detection without 3D Annotations—0
REFINE: Prediction Fusion Network for Panoptic Segmentation—0
RefineVIS: Video Instance Segmentation with Temporal Attention Refinement—0
Label-Efficient Object Detection via Region Proposal Network Pre-Training—0
Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images—0
Reinforced Coloring for End-to-End Instance Segmentation—0
Reinforcement learning for instance segmentation with high-level priors—0
Re:PolyWorld - A Graph Neural Network for Polygonal Scene Parsing—0
RepSNet: A Nucleus Instance Segmentation model based on Boundary Regression and Structural Re-parameterization—0
Rescan: Inductive Instance Segmentation for Indoor RGBD Scans—0
Resolving Inconsistent Semantics in Multi-Dataset Image Segmentation—0
Rethinking ImageNet Pre-training—0
Rethinking Implicit Neural Representations for Vision Learners—0
Rethinking Task and Metrics of Instance Segmentation on 3D Point Clouds—0
Rethinking Visual Prompting for Multimodal Large Language Models with External Knowledge—0
Computer Vision for Recognition of Materials and Vessels in Chemistry Lab Settings and the Vector-LabPics Data Set—0
A Simple Non-i.i.d. Sampling Approach for Efficient Training and Better Generalization—0
Ridge Regression Neural Network for Pediatric Bone Age Assessment—0
RipVIS: Rip Currents Video Instance Segmentation Benchmark for Beach Monitoring and Safety—0
RISeg: Robot Interactive Object Segmentation via Body Frame-Invariant Features—0
RiWNet: A moving object instance segmentation Network being Robust in adverse Weather conditions—0
RNGDet++: Road Network Graph Detection by Transformer with Instance Segmentation and Multi-scale Features Enhancement—0
RoadObstacle21—0
Robust 2D/3D Vehicle Parsing in CVIS—0
Robust 3D Scene Segmentation through Hierarchical and Learnable Part-Fusion—0
Robust Adversarial Perturbation on Deep Proposal-based Models—0
Robust Medical Instrument Segmentation Challenge 2019—0
Robustness Evaluation and Adversarial Training of an Instance Segmentation Model—0
Robust semi-automatic vessel tracing in the human retinal image by an instance segmentation neural network—0
ROI-based Deep Image Compression with Swin Transformers—0
RS-DFM: A Remote Sensing Distributed Foundation Model for Diverse Downstream Tasks—0
S^4M: Boosting Semi-Supervised Instance Segmentation with SAM—0
S4M: Segment Anything with 4 Extreme Points—0
SAF-IS: a Spatial Annotation Free Framework for Instance Segmentation of Surgical Tools—0
SAI3D: Segment Any Instance in 3D Scenes—0
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All datasetsCOCO test-devCOCO minivalLVIS v1.0 valCityscapes valADE20K valARMBenchOccluded COCOOoDISSeparated COCOTBBRBDD100K valCOCO val (panoptic labels)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-HAP5080.8—Unverified
2ResNeSt-200 (multi-scale)AP5070.2—Unverified
3CenterMask + VoVNetV2-99 (multi-scale)AP5066.2—Unverified
4CenterMask + VoVNetV2-57 (single-scale)AP5060.8—Unverified
5Co-DETRmask AP57.1—Unverified
6CBNetV2 (EVA02, single-scale)mask AP56.1—Unverified
7ISDA (ResNet-50)APL55.7—Unverified
8EVAmask AP55.5—Unverified
9FD-SwinV2-Gmask AP55.4—Unverified
10Mask Frozen-DETRmask AP55.3—Unverified
#ModelMetricClaimedVerifiedStatus
1InternImage-BGFLOPs501—Unverified
2Co-DETRmask AP56.6—Unverified
3ViT-CoMer-L (Mask RCNN, DINOv2)mask AP55.9—Unverified
4InternImage-Hmask AP55.4—Unverified
5EVAmask AP55—Unverified
6Mask Frozen-DETRmask AP54.9—Unverified
7MasK DINO (SwinL, multi-scale)mask AP54.5—Unverified
8ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2—Unverified
9GLEE-Promask AP54.2—Unverified
10SwinV2-G (HTC++)mask AP53.7—Unverified