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 1301–1350 of 2262 papers

TitleStatusHype
Attention-based Feature Aggregation—0
AttentionShift: Iteratively Estimated Part-Based Attention Map for Pointly Supervised Instance Segmentation—0
Augment Before Copy-Paste: Data and Memory Efficiency-Oriented Instance Segmentation Framework for Sport-scenes—0
Augmented Reality Meets Computer Vision : Efficient Data Generation for Urban Driving Scenes—0
A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision—0
A Unified Sequence Interface for Vision Tasks—0
AutoBSS: An Efficient Algorithm for Block Stacking Style Search—0
AutoFish: Dataset and Benchmark for Fine-grained Analysis of Fish—0
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey—0
Automated Measurements of Key Morphological Features of Human Embryos for IVF—0
Automated National Urban Map Extraction—0
Automatic Animation of Hair Blowing in Still Portrait Photos—0
Automatic Cadastral Boundary Detection of Very High Resolution Images Using Mask R-CNN—0
Automatic characterization of boulders on planetary surfaces from high-resolution satellite images—0
Automatic counting of mounds on UAV images: combining instance segmentation and patch-level correction—0
Automatic Drywall Analysis for Progress Tracking and Quality Control in Construction—0
Automatic occlusion removal from 3D maps for maritime situational awareness—0
Automatic Video Object Segmentation via Motion-Appearance-Stream Fusion and Instance-aware Segmentation—0
Automating Cobb Angle Measurement for Adolescent Idiopathic Scoliosis using Instance Segmentation—0
Automating lichen monitoring in ecological studies using instance segmentation of time-lapse images—0
Automotive Parts Assessment: Applying Real-time Instance-Segmentation Models to Identify Vehicle Parts—0
Autonomous Quilt Spreading for Caregiving Robots—0
A Vanilla Multi-Task Framework for Dense Visual Prediction Solution to 1st VCL Challenge -- Multi-Task Robustness Track—0
A Weakly Supervised Method for Instance Segmentation of Biological Cells—0
Base Layer Efficiency in Scalable Human-Machine Coding—0
Baybayin Character Instance Detection—0
Bayesian Deep Learning for Affordance Segmentation in images—0
Bayesian Self-Training for Semi-Supervised 3D Segmentation—0
Bayesian Semantic Instance Segmentation in Open Set World—0
Beef Cattle Instance Segmentation Using Fully Convolutional Neural Network—0
Practical Guidelines for Cell Segmentation Models Under Optical Aberrations in Microscopy—0
Benchmarking the Robustness of Instance Segmentation Models—0
Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images—0
Better (pseudo-)labels for semi-supervised instance segmentation—0
Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation—0
Beyond Grids: Learning Graph Representations for Visual Recognition—0
Beyond mAP: Towards better evaluation of instance segmentation—0
Beyond the Final Layer: Hierarchical Query Fusion Transformer with Agent-Interpolation Initialization for 3D Instance Segmentation—0
BFS-Net: Weakly Supervised Cell Instance Segmentation from Bright-Field Microscopy Z-Stacks—0
Deep Multicameral Decoding for Localizing Unoccluded Object Instances from a Single RGB Image—0
Bidirectional Graph Reasoning Network for Panoptic Segmentation—0
Birds' Eye View: Measuring Behavior and Posture of Chickens as a Metric for Their Well-Being—0
BiSeg: Simultaneous Instance Segmentation and Semantic Segmentation with Fully Convolutional Networks—0
BiSVP: Building Footprint Extraction via Bidirectional Serialized Vertex Prediction—0
Boosting Box-supervised Instance Segmentation with Pseudo Depth—0
Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt—0
Boosting Mask R-CNN Performance for Long, Thin Forensic Traces with Pre-Segmentation and IoU Region Merging—0
Bootstrapping Labelled Dataset Construction for Cow Tracking and Behavior Analysis—0
Bottom-Up Instance Segmentation of Catheters for Chest X-Rays—0
Bottom-up Instance Segmentation using Deep Higher-Order CRFs—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