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 17011750 of 2262 papers

TitleStatusHype
Learning Panoptic Segmentation from Instance ContoursCode0
A Closed-Loop System for Improving Annotation Quality and Efficiency0
HS-ResNet: Hierarchical-Split Block on Convolutional Neural NetworkCode1
Semantic Flow-guided Motion Removal Method for Robust Mapping0
COVID-CT-Mask-Net: Prediction of COVID-19 from CT Scans Using Regional FeaturesCode1
Vec2Instance: Parameterization for Deep Instance SegmentationCode1
Joint COCO and Mapillary Workshop at ICCV 2019: COCO Instance Segmentation Challenge Track0
Rotate to Attend: Convolutional Triplet Attention ModuleCode1
Parallax Motion Effect Generation Through Instance Segmentation And Depth Estimation0
Conditional Negative Sampling for Contrastive Learning of Visual RepresentationsCode0
MitoEM Dataset: Large-scale 3D Mitochondria Instance Segmentation from EM ImagesCode1
Hard Negative Mixing for Contrastive LearningCode1
RDCNet: Instance segmentation with a minimalist recurrent residual networkCode0
DOT: Dynamic Object Tracking for Visual SLAM0
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal EffectCode1
Learning Category- and Instance-Aware Pixel Embedding for Fast Panoptic Segmentation0
Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extreme OcclusionCode0
Tied Block Convolution: Leaner and Better CNNs with Shared Thinner FiltersCode1
Curriculum Learning with Diversity for Supervised Computer Vision Tasks0
3D-FUTURE: 3D Furniture shape with TextURE0
PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy ImagesCode1
Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance SegmentationCode1
Towards Fine-grained Large Object Segmentation 1st Place Solution to 3D AI Challenge 2020 -- Instance Segmentation TrackCode1
Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks0
Channel-wise Alignment for Adaptive Object Detection0
1st Place Solution of LVIS Challenge 2020: A Good Box is not a Guarantee of a Good Mask0
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
Fast Single-shot Ship Instance Segmentation Based on Polar Template Mask in Remote Sensing Images0
Mask-guided sample selection for Semi-Supervised Instance Segmentation0
3D for Free: Crossmodal Transfer Learning using HD Maps0
Probabilistic Deep Learning for Instance Segmentation0
Seesaw Loss for Long-Tailed Instance SegmentationCode1
Towards Autonomous Driving: a Multi-Modal 360^ Perception Proposal0
Delving Deeper into Anti-aliasing in ConvNetsCode1
Salient Instance Segmentation with Region and Box-level Annotations0
Towards Lightweight Lane Detection by Optimizing Spatial EmbeddingCode1
TIDE: A General Toolbox for Identifying Object Detection ErrorsCode1
Relevance Attack on DetectorsCode0
Monocular Instance Motion Segmentation for Autonomous Driving: KITTI InstanceMotSeg Dataset and Multi-task Baseline0
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance SegmentationCode1
Fully-Automated Packaging Structure Recognition in Logistics Environments0
Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor SceneCode1
LoCo: Local Contrastive Representation Learning0
Joint Object Contour Points and Semantics for Instance Segmentation0
LevelSet R-CNN: A Deep Variational Method for Instance Segmentation0
Supervised Edge Attention Network for Accurate Image Instance SegmentationCode1
Instance-Aware Embedding for Point Cloud Instance Segmentation0
Count- and Similarity-aware R-CNN for Pedestrian DetectionCode0
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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