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 876900 of 2262 papers

TitleStatusHype
CEDNet: A Cascade Encoder-Decoder Network for Dense PredictionCode1
PUPS: Point Cloud Unified Panoptic Segmentation0
An Efficient Instance Segmentation Approach for Extracting Fission Gas Bubbles on U-10Zr Annular Fuel0
Cross-Layer Retrospective Retrieving via Layer AttentionCode1
Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot InteractionCode1
Using t-distributed stochastic neighbor embedding for visualization and segmentation of 3D point clouds of plants0
Top-Down Beats Bottom-Up in 3D Instance SegmentationCode0
Uncertainty Calibration and its Application to Object DetectionCode0
PatchDCT: Patch Refinement for High Quality Instance SegmentationCode0
DilateFormer: Multi-Scale Dilated Transformer for Visual RecognitionCode1
AOP-Net: All-in-One Perception Network for Joint LiDAR-based 3D Object Detection and Panoptic Segmentation0
Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt0
ParticleSeg3D: A Scalable Out-of-the-Box Deep Learning Segmentation Solution for Individual Particle Characterization from Micro CT Images in Mineral Processing and RecyclingCode1
Maximal Cliques on Multi-Frame Proposal Graph for Unsupervised Video Object Segmentation0
ClusterFuG: Clustering Fully connected Graphs by MulticutCode0
Dual-View Selective Instance Segmentation Network for Unstained Live Adherent Cells in Differential Interference Contrast Images0
The Projection-Enhancement Network (PEN)Code0
Cut and Learn for Unsupervised Object Detection and Instance SegmentationCode3
Long-tail Detection with Effective Class-MarginsCode1
Recurrent Generic Contour-based Instance Segmentation with Progressive LearningCode1
Towards Robust Video Instance Segmentation with Temporal-Aware Transformer0
Occlusion Reasoning for Skeleton Extraction of Self-Occluded Tree Canopies0
Joint Representation Learning for Text and 3D Point CloudCode0
Vision Transformers Are Good Mask Auto-Labelers0
Instance Segmentation Based Graph Extraction for Handwritten Circuit Diagram Images0
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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