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 1151–1200 of 2262 papers

TitleStatusHype
Training a universal instance segmentation network for live cell images of various cell types and imaging modalitiesCode0
End-to-end video instance segmentation via spatial-temporal graph neural networksCode0
MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous DrivingCode0
Training-Free Dataset Pruning for Instance SegmentationCode0
CCNet: Criss-Cross Attention for Semantic SegmentationCode0
Vision Transformer with Sparse Scan PriorCode0
SLoRD: Structural Low-Rank Descriptors for Shape Consistency in Vertebrae SegmentationCode0
Instance Segmentation of Microscopic ForaminiferaCode0
Slum Segmentation and Change Detection : A Deep Learning ApproachCode0
DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical ImagesCode0
DARCNN: Domain Adaptive Region-based Convolutional Neural Network forUnsupervised Instance Segmentation in Biomedical ImagesCode0
SOCRATES: A Stereo Camera Trap for Monitoring of BiodiversityCode0
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is ComingCode0
MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance SegmentationCode0
Learning Rich Features from RGB-D Images for Object Detection and SegmentationCode0
End-to-End Learned Random Walker for Seeded Image SegmentationCode0
End-to-End Instance Segmentation with Recurrent AttentionCode0
OpenSplat3D: Open-Vocabulary 3D Instance Segmentation using Gaussian Splatting—0
Agnostic Lane Detection—0
1st Place Solution for CVPR2023 BURST Long Tail and Open World Challenges—0
1st Place Solution of LVIS Challenge 2020: A Good Box is not a Guarantee of a Good Mask—0
1st Place Winner of the 2024 Pixel-level Video Understanding in the Wild (CVPR'24 PVUW) Challenge in Video Panoptic Segmentation and Best Long Video Consistency of Video Semantic Segmentation—0
1% VS 100%: Parameter-Efficient Low Rank Adapter for Dense Predictions—0
Amodal Segmentation for Laparoscopic Surgery Video Instruments—0
Pseudo-Label Quality Decoupling and Correction for Semi-Supervised Instance Segmentation—0
SurgPose: Generalisable Surgical Instrument Pose Estimation using Zero-Shot Learning and Stereo Vision—0
2D Amodal Instance Segmentation Guided by 3D Shape Prior—0
2nd Place Solution for MeViS Track in CVPR 2024 PVUW Workshop: Motion Expression guided Video Segmentation—0
2nd Place Solution for MOSE Track in CVPR 2024 PVUW workshop: Complex Video Object Segmentation—0
2nd Place Solution to Instance Segmentation of IJCAI 3D AI Challenge 2020—0
3D-Aware Instance Segmentation and Tracking in Egocentric Videos—0
3D-BEVIS: Bird's-Eye-View Instance Segmentation—0
3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection—0
3D Concept Grounding on Neural Fields—0
3D Feature Distillation with Object-Centric Priors—0
3D for Free: Crossmodal Transfer Learning using HD Maps—0
3DFusion, A real-time 3D object reconstruction pipeline based on streamed instance segmented data—0
3D-FUTURE: 3D Furniture shape with TextURE—0
3D Graph Embedding Learning with a Structure-aware Loss Function for Point Cloud Semantic Instance Segmentation—0
3D Instance Segmentation of MVS Buildings—0
3D Instance Segmentation Using Deep Learning on RGB-D Indoor Data—0
3D Instance Segmentation via Enhanced Spatial and Semantic Supervision—0
3D Instance Segmentation via Multi-Task Metric Learning—0
ZeroPose: CAD-Prompted Zero-shot Object 6D Pose Estimation in Cluttered Scenes—0
3D Object Detection and Instance Segmentation from 3D Range and 2D Color Images—0
3D-QueryIS: A Query-based Framework for 3D Instance Segmentation—0
3D Registration for Self-Occluded Objects in Context—0
3DSceneEditor: Controllable 3D Scene Editing with Gaussian Splatting—0
3D Segmentation of Humans in Point Clouds with Synthetic Data—0
RevealNet: Seeing Behind Objects in RGB-D Scans—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