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 1401–1450 of 2262 papers

TitleStatusHype
Uncertainty Calibration and its Application to Object DetectionCode0
Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt—0
AOP-Net: All-in-One Perception Network for Joint LiDAR-based 3D Object Detection and Panoptic Segmentation—0
Maximal Cliques on Multi-Frame Proposal Graph for Unsupervised Video Object Segmentation—0
ClusterFuG: Clustering Fully connected Graphs by MulticutCode0
Dual-View Selective Instance Segmentation Network for Unstained Live Adherent Cells in Differential Interference Contrast Images—0
The Projection-Enhancement Network (PEN)Code0
Occlusion Reasoning for Skeleton Extraction of Self-Occluded Tree Canopies—0
Towards Robust Video Instance Segmentation with Temporal-Aware Transformer—0
Joint Representation Learning for Text and 3D Point CloudCode0
Vision Transformers Are Good Mask Auto-Labelers—0
Instance Segmentation Based Graph Extraction for Handwritten Circuit Diagram Images—0
InsPro: Propagating Instance Query and Proposal for Online Video Instance Segmentation—0
Object Segmentation with Audio Context—0
Exploring the Sim2Real Gap Using Digital Twins—0
MUVA: A New Large-Scale Benchmark for Multi-View Amodal Instance Segmentation in the Shopping Scenario—0
Re:PolyWorld - A Graph Neural Network for Polygonal Scene Parsing—0
3D Instance Segmentation via Enhanced Spatial and Semantic Supervision—0
X3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection—0
Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation With Exemplars—0
TopoSeg: Topology-Aware Nuclear Instance SegmentationCode0
Camouflaged Instance Segmentation via Explicit De-Camouflaging—0
AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts—0
Query Refinement Transformer for 3D Instance Segmentation—0
1% VS 100%: Parameter-Efficient Low Rank Adapter for Dense Predictions—0
LoTE-Animal: A Long Time-span Dataset for Endangered Animal Behavior Understanding—0
Mask-Guided Matting in the Wild—0
Tree Instance Segmentation With Temporal Contour Graph—0
AttentionShift: Iteratively Estimated Part-Based Attention Map for Pointly Supervised Instance Segmentation—0
Semantic Information in Contrastive LearningCode0
Tracking Passengers and Baggage Items using Multiple Overhead Cameras at Security CheckpointsCode0
CellTranspose: Few-shot Domain Adaptation for Cellular Instance Segmentation—0
Brain Cancer Segmentation Using YOLOv5 Deep Neural Network—0
PMODE: Prototypical Mask based Object Dimension Estimation—0
Precise Location Matching Improves Dense Contrastive Learning in Digital PathologyCode0
Eff-3DPSeg: 3D organ-level plant shoot segmentation using annotation-efficient point clouds—0
Building Height Prediction with Instance Segmentation—0
An annotated instance segmentation XXL-CT data-set from a historic airplane—0
Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework with Spatio-Temporal Collaboration—0
CAT: Learning to Collaborate Channel and Spatial Attention from Multi-Information Fusion—0
Look Before You Match: Instance Understanding Matters in Video Object Segmentation—0
Test-time Adaptation vs. Training-time Generalization: A Case Study in Human Instance Segmentation using Keypoints Estimation—0
Robust Perception through EquivarianceCode0
AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation—0
Framework-agnostic Semantically-aware Global Reasoning for Segmentation—0
3D Segmentation of Humans in Point Clouds with Synthetic Data—0
Growing Instance Mask on Leaf—0
EasyMLServe: Easy Deployment of REST Machine Learning ServicesCode0
From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments—0
Automating Cobb Angle Measurement for Adolescent Idiopathic Scoliosis using Instance Segmentation—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