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 651700 of 2262 papers

TitleStatusHype
CDNet: Centripetal Direction Network for Nuclear Instance SegmentationCode1
Inception Convolution with Efficient Dilation SearchCode1
SWA Object DetectionCode1
FcaNet: Frequency Channel Attention NetworksCode1
SCNet: Training Inference Sample Consistency for Instance SegmentationCode1
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene ContextsCode1
Fine-Grained Vehicle Perception via 3D Part-Guided Visual Data AugmentationCode1
Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object DetectionCode1
Simple Copy-Paste is a Strong Data Augmentation Method for Instance SegmentationCode1
Classifying Breast Histopathology Images with a Ductal Instance-Oriented PipelineCode1
The Lottery Ticket Hypothesis for Object RecognitionCode1
CompFeat: Comprehensive Feature Aggregation for Video Instance SegmentationCode1
Rethinking Learnable Tree Filter for Generic Feature TransformCode1
PeR-ViS: Person Retrieval in Video Surveillance using Semantic DescriptionCode1
Robust Instance Segmentation through Reasoning about Multi-Object OcclusionCode1
Towards Part-Based Understanding of RGB-D ScansCode1
Learning Universal Shape Dictionary for Realtime Instance SegmentationCode1
End-to-End Video Instance Segmentation with TransformersCode1
DyCo3D: Robust Instance Segmentation of 3D Point Clouds through Dynamic ConvolutionCode1
MultiStar: Instance Segmentation of Overlapping Objects with Star-Convex PolygonsCode1
Prior to Segment: Foreground Cues for Weakly Annotated Classes in Partially Supervised Instance SegmentationCode1
One Metric to Measure them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection TasksCode1
Attention-Based Transformers for Instance Segmentation of Cells in MicrostructuresCode1
DCT-Mask: Discrete Cosine Transform Mask Representation for Instance SegmentationCode1
Dense Contrastive Learning for Self-Supervised Visual Pre-TrainingCode1
Towards Efficient Scene Understanding via Squeeze ReasoningCode1
Lightweight Model For The Prediction of COVID-19 Through The Detection And Segmentation of Lesions in Chest CT ScansCode1
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic SegmentationCode1
Perception for Autonomous Systems (PAZ)Code1
Instance Semantic Segmentation Benefits from Generative Adversarial NetworksCode1
Detection and Segmentation of Lesion Areas in Chest CT Scans For The Prediction of COVID-19Code1
Amodal Segmentation through Out-of-Task and Out-of-Distribution Generalization with a Bayesian ModelCode1
TTPLA: An Aerial-Image Dataset for Detection and Segmentation of Transmission Towers and Power LinesCode1
HS-ResNet: Hierarchical-Split Block on Convolutional Neural NetworkCode1
COVID-CT-Mask-Net: Prediction of COVID-19 from CT Scans Using Regional FeaturesCode1
Rotate to Attend: Convolutional Triplet Attention ModuleCode1
Vec2Instance: Parameterization for Deep Instance SegmentationCode1
MitoEM Dataset: Large-scale 3D Mitochondria Instance Segmentation from EM ImagesCode1
Hard Negative Mixing for Contrastive LearningCode1
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal EffectCode1
Tied Block Convolution: Leaner and Better CNNs with Shared Thinner FiltersCode1
PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy ImagesCode1
Towards Fine-grained Large Object Segmentation 1st Place Solution to 3D AI Challenge 2020 -- Instance Segmentation TrackCode1
Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance SegmentationCode1
Monocular 3D Detection with Geometric Constraints Embedding and Semi-supervised TrainingCode1
Online Multi-Object Tracking and Segmentation with GMPHD Filter and Mask-based Affinity FusionCode1
Regularized Densely-connected Pyramid Network for Salient Instance SegmentationCode1
Seesaw Loss for Long-Tailed Instance SegmentationCode1
Delving Deeper into Anti-aliasing in ConvNetsCode1
Towards Lightweight Lane Detection by Optimizing Spatial EmbeddingCode1
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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
8GLEE-Promask AP54.2Unverified
9ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2Unverified
10SwinV2-G (HTC++)mask AP53.7Unverified