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 851–900 of 2262 papers

TitleStatusHype
Towards Universal Vision-language Omni-supervised Segmentation—0
Universal Instance Perception as Object Discovery and RetrievalCode3
Amodal Intra-class Instance Segmentation: Synthetic Datasets and BenchmarkCode1
Generalized 3D Self-supervised Learning Framework via Prompted Foreground-Aware Feature Contrast—0
Dynamic Y-KD: A Hybrid Approach to Continual Instance Segmentation—0
MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance SegmentationCode0
Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision—0
Radio astronomical images object detection and segmentation: A benchmark on deep learning methods—0
ElC-OIS: Ellipsoidal Clustering for Open-World Instance Segmentation on LiDAR DataCode1
SEMv2: Table Separation Line Detection Based on Instance SegmentationCode1
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors—0
Traffic Scene Parsing through the TSP6K DatasetCode1
X^3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection—0
Bayesian Deep Learning for Affordance Segmentation in images—0
DAN-NucNet: A dual attention based framework for nuclei segmentation in cancer histology images under wild clinical conditionsCode0
ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic ConvolutionCode1
BiSVP: Building Footprint Extraction via Bidirectional Serialized Vertex Prediction—0
FPCD: An Open Aerial VHR Dataset for Farm Pond Change Detection—0
Mask3D: Pre-training 2D Vision Transformers by Learning Masked 3D Priors—0
Kartezio: Evolutionary Design of Explainable Pipelines for Biomedical Image AnalysisCode1
Category-level Shape Estimation for Densely Cluttered Objects—0
Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS Instance SegmentationCode1
ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation—0
SEMI-PointRend: Improved Semiconductor Wafer Defect Classification and Segmentation as Rendering—0
Offline-to-Online Knowledge Distillation for Video Instance Segmentation—0
CEDNet: A Cascade Encoder-Decoder Network for Dense PredictionCode1
PUPS: Point Cloud Unified Panoptic Segmentation—0
An Efficient Instance Segmentation Approach for Extracting Fission Gas Bubbles on U-10Zr Annular Fuel—0
Cross-Layer Retrospective Retrieving via Layer AttentionCode1
Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot InteractionCode1
Using t-distributed stochastic neighbor embedding for visualization and segmentation of 3D point clouds of plants—0
Top-Down Beats Bottom-Up in 3D Instance SegmentationCode0
Uncertainty Calibration and its Application to Object DetectionCode0
PatchDCT: Patch Refinement for High Quality Instance SegmentationCode0
DilateFormer: Multi-Scale Dilated Transformer for Visual RecognitionCode1
AOP-Net: All-in-One Perception Network for Joint LiDAR-based 3D Object Detection and Panoptic Segmentation—0
Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt—0
ParticleSeg3D: A Scalable Out-of-the-Box Deep Learning Segmentation Solution for Individual Particle Characterization from Micro CT Images in Mineral Processing and RecyclingCode1
Maximal Cliques on Multi-Frame Proposal Graph for Unsupervised Video Object Segmentation—0
ClusterFuG: Clustering Fully connected Graphs by MulticutCode0
Dual-View Selective Instance Segmentation Network for Unstained Live Adherent Cells in Differential Interference Contrast Images—0
The Projection-Enhancement Network (PEN)Code0
Cut and Learn for Unsupervised Object Detection and Instance SegmentationCode3
Long-tail Detection with Effective Class-MarginsCode1
Recurrent Generic Contour-based Instance Segmentation with Progressive LearningCode1
Towards Robust Video Instance Segmentation with Temporal-Aware Transformer—0
Occlusion Reasoning for Skeleton Extraction of Self-Occluded Tree Canopies—0
Joint Representation Learning for Text and 3D Point CloudCode0
Vision Transformers Are Good Mask Auto-Labelers—0
Instance Segmentation Based Graph Extraction for Handwritten Circuit Diagram Images—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
8GLEE-Promask AP54.2—Unverified
9ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2—Unverified
10SwinV2-G (HTC++)mask AP53.7—Unverified