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 1501–1550 of 2262 papers

TitleStatusHype
Embedded Vision for Self-Driving on Forest Roads—0
ICDAR 2021 Competition on Historical Map SegmentationCode0
BoundarySqueeze: Image Segmentation as Boundary SqueezingCode1
Reinforcement learning for instance segmentation with high-level priors—0
Deep Active Contours Using Locally Controlled Distance Vector Flow—0
Temporal Prediction and Evaluation of Brassica Growth in the Field using Conditional Generative Adversarial Networks—0
Instance Segmentation of Microscopic ForaminiferaCode0
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box SupervisionCode1
Waste detection in Pomerania: non-profit project for detecting waste in environmentCode1
Incremental Few-Shot Instance SegmentationCode1
Conformer: Local Features Coupling Global Representations for Visual RecognitionCode1
A^2-FPN: Attention Aggregation based Feature Pyramid Network for Instance Segmentation—0
Beyond Self-attention: External Attention using Two Linear Layers for Visual TasksCode2
Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors—0
Instances as QueriesCode1
PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and BeyondCode1
Robust 3D Cell Segmentation: Extending the View of CellposeCode1
ISTR: End-to-End Instance Segmentation with TransformersCode1
SegmentMeIfYouCan: A Benchmark for Anomaly SegmentationCode1
ACDC: The Adverse Conditions Dataset with Correspondences for Robust Semantic Driving Scene Perception—0
Multimodal Contrastive Training for Visual Representation Learning—0
Learning to Better Segment Objects from Unseen Classes with Unlabeled Videos—0
Pri3D: Can 3D Priors Help 2D Representation Learning?Code1
A Structure-Aware Relation Network for Thoracic Diseases Detection and SegmentationCode1
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular CamerasCode1
Guided Table Structure Recognition through Anchor Optimization—0
Distilling Knowledge via Knowledge ReviewCode1
Fashion-Guided Adversarial Attack on Person SegmentationCode0
RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained FeaturesCode1
Advanced Deep Networks for 3D Mitochondria Instance SegmentationCode1
Ridge Regression Neural Network for Pediatric Bone Age Assessment—0
Zero-Shot Instance SegmentationCode1
HoughNet: Integrating near and long-range evidence for visual detectionCode1
Crossover Learning for Fast Online Video Instance SegmentationCode1
Co-Scale Conv-Attentional Image TransformersCode1
DropLoss for Long-Tail Instance SegmentationCode1
Pointly-Supervised Instance SegmentationCode1
Common Limitations of Image Processing Metrics: A Picture StoryCode1
Visiting the Invisible: Layer-by-Layer Completed Scene DecompositionCode1
Volume and leaf area calculation of cabbage with a neural network-based instance segmentation—0
Look Closer to Segment Better: Boundary Patch Refinement for Instance SegmentationCode1
Location-Sensitive Visual Recognition with Cross-IOU LossCode1
A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline—0
Contour Proposal Networks for Biomedical Instance SegmentationCode1
Spatial Feature Calibration and Temporal Fusion for Effective One-stage Video Instance SegmentationCode1
Weakly-supervised Instance Segmentation via Class-agnostic Learning with Salient ImagesCode0
DARCNN: Domain Adaptive Region-based Convolutional Neural Network forUnsupervised Instance Segmentation in Biomedical ImagesCode0
Recursively Refined R-CNN: Instance Segmentation with Self-RoI RebalancingCode0
DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical ImagesCode0
Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision—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