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

Showing 20012050 of 2262 papers

TitleStatusHype
Self-supervised learning for autonomous vehicles perception: A conciliation between analytical and learning methods0
LIP: Learning Instance Propagation for Video Object Segmentation0
Multi-view PointNet for 3D Scene Understanding0
End-to-End Deep Convolutional Active Contours for Image Segmentation0
Salient Instance Segmentation via Subitizing and Clustering0
Rethinking Task and Metrics of Instance Segmentation on 3D Point Clouds0
Geomorphological Analysis Using Unpiloted Aircraft Systems, Structure from Motion, and Deep Learning0
Multi-Task Learning via Scale Aware Feature Pyramid Networks and Effective Joint Head0
A closer look at network resolution for efficient network design0
Rescan: Inductive Instance Segmentation for Indoor RGBD Scans0
Gated Channel Transformation for Visual RecognitionCode0
AdaptIS: Adaptive Instance Selection NetworkCode0
Comparison of UNet, ENet, and BoxENet for Segmentation of Mast Cells in Scans of Histological Slices0
Center-Extraction-Based Three Dimensional Nuclei Instance Segmentation of Fluorescence Microscopy Images0
Is Heuristic Sampling Necessary in Training Deep Object Detectors?Code0
BERTgrid: Contextualized Embedding for 2D Document Representation and UnderstandingCode0
Chargrid-OCR: End-to-end Trainable Optical Character Recognition for Printed Documents using Instance Segmentation0
CBNet: A Novel Composite Backbone Network Architecture for Object DetectionCode0
NuClick: From Clicks in the Nuclei to Nuclear Boundaries0
SSAP: Single-Shot Instance Segmentation With Affinity PyramidCode0
Nuclear Instance Segmentation using a Proposal-Free Spatially Aware Deep Learning Framework0
A Weakly Supervised Method for Instance Segmentation of Biological Cells0
Generator evaluator-selector net for panoptic image segmentation and splitting unfamiliar objects into partsCode0
Towards Unconstrained End-to-End Text Spotting0
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imagingCode0
InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-PastingCode0
Instance Scale Normalization for image understanding0
IRNet: Instance Relation Network for Overlapping Cervical Cell SegmentationCode0
Explicit Shape Encoding for Real-Time Instance SegmentationCode0
Attentive NormalizationCode0
The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation0
Grape detection, segmentation and tracking using deep neural networks and three-dimensional associationCode0
Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation0
Object as Distribution0
U4D: Unsupervised 4D Dynamic Scene Understanding0
DetectFusion: Detecting and Segmenting Both Known and Unknown Dynamic Objects in Real-time SLAM0
Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding BoxesCode0
Human Extraction and Scene Transition utilizing Mask R-CNN0
Slot Based Image Augmentation System for Object Detection0
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is ComingCode0
MaskPlus: Improving Mask Generation for Instance Segmentation0
A 3D Convolutional Approach to Spectral Object Segmentation in Space and TimeCode0
Where are the Masks: Instance Segmentation with Image-level SupervisionCode0
GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance Segmentation0
Cascade R-CNN: High Quality Object Detection and Instance SegmentationCode0
3D Instance Segmentation via Multi-Task Metric Learning0
Automated crater shape retrieval using weakly-supervised deep learningCode0
Deep Multicameral Decoding for Localizing Unoccluded Object Instances from a Single RGB Image0
IMP: Instance Mask Projection for High Accuracy Semantic Segmentation of Things0
Instance Segmentation with Point Supervision0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-HAP5080.8Unverified
2ResNeSt-200 (multi-scale)AP5070.2Unverified
3CenterMask + VoVNetV2-99 (multi-scale)AP5066.2Unverified
4CenterMask + VoVNetV2-57 (single-scale)AP5060.8Unverified
5Co-DETRmask AP57.1Unverified
6CBNetV2 (EVA02, single-scale)mask AP56.1Unverified
7ISDA (ResNet-50)APL55.7Unverified
8EVAmask AP55.5Unverified
9FD-SwinV2-Gmask AP55.4Unverified
10Mask Frozen-DETRmask AP55.3Unverified
#ModelMetricClaimedVerifiedStatus
1InternImage-BGFLOPs501Unverified
2Co-DETRmask AP56.6Unverified
3ViT-CoMer-L (Mask RCNN, DINOv2)mask AP55.9Unverified
4InternImage-Hmask AP55.4Unverified
5EVAmask AP55Unverified
6Mask Frozen-DETRmask AP54.9Unverified
7MasK DINO (SwinL, multi-scale)mask AP54.5Unverified
8ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2Unverified
9GLEE-Promask AP54.2Unverified
10SwinV2-G (HTC++)mask AP53.7Unverified