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 1251–1300 of 2262 papers

TitleStatusHype
All you need is a second look: Towards Tighter Arbitrary shape text detection—0
All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting—0
A Low Rank Promoting Prior for Unsupervised Contrastive Learning—0
A Manifold Representation of the Key in Vision Transformers—0
A Mask Attention Interaction and Scale Enhancement Network for SAR Ship Instance Segmentation—0
Amodal Instance Segmentation—0
Amodal Instance Segmentation with Diffusion Shape Prior Estimation—0
Amodal Panoptic Segmentation—0
Amodal segmentation just like doing a jigsaw—0
An annotated instance segmentation XXL-CT data-set from a historic airplane—0
An Efficient Instance Segmentation Approach for Extracting Fission Gas Bubbles on U-10Zr Annular Fuel—0
An Embedding-Dynamic Approach to Self-supervised Learning—0
An Empirical Study of Uncertainty in Polygon Annotation and the Impact of Quality Assurance—0
An End-to-End Framework for Unsupervised Pose Estimation of Occluded Pedestrians—0
A New Image Codec Paradigm for Human and Machine Uses—0
An Exemplar-based CRF for Multi-instance Object Segmentation—0
An Extendable, Efficient and Effective Transformer-based Object Detector—0
An Interpretable Deep Learning Approach for Morphological Script Type Analysis—0
Annotation-Free and One-Shot Learning for Instance Segmentation of Homogeneous Object Clusters—0
An Object Aware Hybrid U-Net for Breast Tumour Annotation—0
An object-centric sensitivity analysis of deep learning based instance segmentation—0
A novel integrated method of detection-grasping for specific object based on the box coordinate matching—0
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images—0
A Novel WaveInst-based Network for Tree Trunk Structure Extraction and Pattern Analysis in Forest Inventory—0
Any3DIS: Class-Agnostic 3D Instance Segmentation by 2D Mask Tracking—0
AnySynth: Harnessing the Power of Image Synthetic Data Generation for Generalized Vision-Language Tasks—0
AOP-Net: All-in-One Perception Network for Joint LiDAR-based 3D Object Detection and Panoptic Segmentation—0
Applications of Knowledge Distillation in Remote Sensing: A Survey—0
APSeg: Auto-Prompt Model with Acquired and Injected Knowledge for Nuclear Instance Segmentation and Classification—0
Are Deep Learning Models Robust to Partial Object Occlusion in Visual Recognition Tasks?—0
A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline—0
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?—0
A Review and A Robust Framework of Data-Efficient 3D Scene Parsing with Traditional/Learned 3D Descriptors—0
ARMBench: An Object-centric Benchmark Dataset for Robotic Manipulation—0
Artistic Instance-Aware Image Filtering by Convolutional Neural Networks—0
A SAM-based Solution for Hierarchical Panoptic Segmentation of Crops and Weeds Competition—0
A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images—0
A Semantic Consistency Feature Alignment Object Detection Model Based on Mixed-Class Distribution Metrics—0
A Simple and Generic Framework for Feature Distillation via Channel-wise Transformation—0
A Simple Background Augmentation Method for Object Detection with Diffusion Model—0
ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis—0
Assessing SAM for Tree Crown Instance Segmentation from Drone Imagery—0
Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures—0
Associating Inter-Image Salient Instances for Weakly Supervised Semantic Segmentation—0
A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention—0
A Survey on Instance Segmentation: State of the art—0
A Survey on Label-efficient Deep Image Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction—0
AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation—0
A Temporal Modeling Framework for Video Pre-Training on Video Instance Segmentation—0
A three in one bottom-up framework for simultaneous semantic segmentation, instance segmentation and classification of multi-organ nuclei in digital cancer histology—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