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 251275 of 2262 papers

TitleStatusHype
AISFormer: Amodal Instance Segmentation with TransformerCode1
Depth-aware Object Segmentation and Grasp Detection for Robotic Picking TasksCode1
Conditional Object-Centric Learning from VideoCode1
Detect, consolidate, delineate: scalable mapping of field boundaries using satellite imagesCode1
Embedding-based Instance Segmentation in MicroscopyCode1
CompFeat: Comprehensive Feature Aggregation for Video Instance SegmentationCode1
Common Limitations of Image Processing Metrics: A Picture StoryCode1
Complete Instances Mining for Weakly Supervised Instance SegmentationCode1
Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance SegmentationCode1
A Robust Feature Downsampling Module for Remote Sensing Visual TasksCode1
Conformer: Local Features Coupling Global Representations for Visual RecognitionCode1
A Review of Panoptic Segmentation for Mobile Mapping Point CloudsCode1
Improving Weakly-supervised Video Instance Segmentation by Leveraging Spatio-temporal ConsistencyCode1
Coherent Reconstruction of Multiple Humans from a Single ImageCode1
Deep High-Resolution Representation Learning for Visual RecognitionCode1
Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable ApproachCode1
Eigencontours: Novel Contour Descriptors Based on Low-Rank ApproximationCode1
CLUSTSEG: Clustering for Universal SegmentationCode1
Container: Context Aggregation NetworkCode1
3D Part Guided Image Editing for Fine-Grained Object UnderstandingCode1
Clustering Plotted Data by Image SegmentationCode1
ElC-OIS: Ellipsoidal Clustering for Open-World Instance Segmentation on LiDAR DataCode1
EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance SegmentationCode1
Applying Eigencontours to PolarMask-Based Instance SegmentationCode1
AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm QuantizerCode1
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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