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 1651–1700 of 2262 papers

TitleStatusHype
Bounding Box-Free Instance Segmentation Using Semi-Supervised Learning for Generating a City-Scale Vehicle Dataset—0
Lebanon Solar Rooftop Potential Assessment using Buildings Segmentation from Aerial Images—0
Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping—0
HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning—0
Robust 3D Scene Segmentation through Hierarchical and Learnable Part-Fusion—0
Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance SegmentationCode0
Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge—0
Evaluation of Deep Learning Topcoders Method for Neuron Individualization in Histological Macaque Brain Section—0
Real-time Instance Segmentation of Surgical Instruments using Attention and Multi-scale Feature Fusion—0
Unsupervised Spiking Instance Segmentation on Event Data using STDP—0
Segmentation of Multiple Myeloma Plasma Cells in Microscopy Images with Noisy Labels—0
LVIS Challenge Track Technical Report 1st Place Solution: Distribution Balanced and Boundary Refinement for Large Vocabulary Instance Segmentation—0
Towards Panoptic 3D Parsing for Single Image in the Wild—0
CPSeg: Cluster-free Panoptic Segmentation of 3D LiDAR Point Clouds—0
Pixel-Level Analysis for Enhancing Threat Detection in Large-Scale X-ray Security ImagesCode0
TA-Net: Topology-Aware Network for Gland Segmentation—0
HR-RCNN: Hierarchical Relational Reasoning for Object Detection—0
hSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries—0
Multi-Object Tracking and Segmentation with a Space-Time Memory Network—0
Video Instance Segmentation by Instance Flow Assembly—0
Learning to Infer Kinematic Hierarchies for Novel Object Instances—0
Accurate Fine-grained Layout Analysis for the Historical Tibetan Document Based on the Instance SegmentationCode0
High-throughput Phenotyping of Nematode Cysts—0
RoadObstacle21—0
Deep Instance Segmentation with Automotive Radar Detection Points—0
MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation—0
3rd Place Scheme on Instance Segmentation Track of ICCV 2021 VIPriors Challenges—0
iShape: A First Step Towards Irregular Shape Instance Segmentation—0
Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images—0
Image BERT Pre-training with Online Tokenizer—0
FoxInst: A Frustratingly Simple Baseline for Weakly Few-shot Instance Segmentation—0
Attention-based Feature Aggregation—0
An object-centric sensitivity analysis of deep learning based instance segmentation—0
TreeNet: A lightweight One-Shot Aggregation Convolutional Network—0
Localizing Infinity-shaped fishes: Sketch-guided object localization in the wildCode0
Dense Semantic Contrast for Self-Supervised Visual Representation Learning—0
UCP-Net: Unstructured Contour Points for Instance Segmentation—0
Temporal RoI Align for Video Object Recognition—0
Mask is All You Need: Rethinking Mask R-CNN for Dense and Arbitrary-Shaped Scene Text Detection—0
RiWNet: A moving object instance segmentation Network being Robust in adverse Weather conditions—0
Benchmarking the Robustness of Instance Segmentation Models—0
SMAC-Seg: LiDAR Panoptic Segmentation via Sparse Multi-directional Attention Clustering—0
Simultaneous Nuclear Instance and Layer Segmentation in Oral Epithelial Dysplasia—0
InSeGAN: A Generative Approach to Segmenting Identical Instances in Depth Images—0
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision—0
ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation—0
An Underwater Image Semantic Segmentation Method Focusing on Boundaries and a Real Underwater Scene Semantic Segmentation DatasetCode0
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating roomCode0
Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification—0
Image coding for machines: an end-to-end learned approach—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