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 101125 of 2262 papers

TitleStatusHype
OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic KernelsCode4
You Only Click Once: Single Point Weakly Supervised 3D Instance Segmentation for Autonomous Driving0
CLIMB-3D: Continual Learning for Imbalanced 3D Instance SegmentationCode0
WeedsGalore: A Multispectral and Multitemporal UAV-based Dataset for Crop and Weed Segmentation in Agricultural Maize FieldsCode1
DAMamba: Vision State Space Model with Dynamic Adaptive ScanCode2
Leveraging Multimodal-LLMs Assisted by Instance Segmentation for Intelligent Traffic Monitoring0
FrGNet: A fourier-guided weakly-supervised framework for nuclear instance segmentationCode0
Instance Segmentation of Scene Sketches Using Natural Image Priors0
HistoSmith: Single-Stage Histology Image-Label Generation via Conditional Latent Diffusion for Enhanced Cell Segmentation and ClassificationCode1
Generalized Class Discovery in Instance Segmentation0
VFX Creator: Animated Visual Effect Generation with Controllable Diffusion Transformer0
AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers0
Beyond the Final Layer: Hierarchical Query Fusion Transformer with Agent-Interpolation Initialization for 3D Instance Segmentation0
Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning DynamicsCode1
ZISVFM: Zero-Shot Object Instance Segmentation in Indoor Robotic Environments with Vision Foundation ModelsCode0
Mind the Gap: Evaluating Patch Embeddings from General-Purpose and Histopathology Foundation Models for Cell Segmentation and ClassificationCode1
Mosaic3D: Foundation Dataset and Model for Open-Vocabulary 3D Segmentation0
Memory Efficient Transformer Adapter for Dense Predictions0
Segment Anything for HistopathologyCode2
Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation0
INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation0
Tuning Vision Foundation Model via Test-Time Prompt-Guided Training for VFSS Segmentations0
ContourFormer:Real-Time Contour-Based End-to-End Instance Segmentation TransformerCode1
D-PLS: Decoupled Semantic Segmentation for 4D-Panoptic-LiDAR-Segmentation0
iFormer: Integrating ConvNet and Transformer for Mobile ApplicationCode2
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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