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 151175 of 2262 papers

TitleStatusHype
Temporally Efficient Vision Transformer for Video Instance SegmentationCode2
Tomato Multi-Angle Multi-Pose Dataset for Fine-Grained Phenotyping1
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayersCode1
AISFormer: Amodal Instance Segmentation with TransformerCode1
Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance SegmentationCode1
Deep Learning based Food Instance Segmentation using Synthetic DataCode1
AIO-P: Expanding Neural Performance Predictors Beyond Image ClassificationCode1
Deep-learning in the bioimaging wild: Handling ambiguous data with deepflash2Code1
Decoupling Classifier for Boosting Few-shot Object Detection and Instance SegmentationCode1
DCT-Mask: Discrete Cosine Transform Mask Representation for Instance SegmentationCode1
Deep High-Resolution Representation Learning for Human Pose EstimationCode1
Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image EncodingCode1
Deep learning approaches to building rooftop thermal bridge detection from aerial imagesCode1
DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality AnnotationsCode1
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance SegmentationCode1
CycleMLP: A MLP-like Architecture for Dense PredictionCode1
D2Det: Towards High Quality Object Detection and Instance SegmentationCode1
AggMask: Exploring locally aggregated learning of mask representations for instance segmentationCode1
A Generalized Framework for Video Instance SegmentationCode1
Cross-View Regularization for Domain Adaptive Panoptic SegmentationCode1
CryoNuSeg: A Dataset for Nuclei Instance Segmentation of Cryosectioned H&E-Stained Histological ImagesCode1
Affinity Attention Graph Neural Network for Weakly Supervised Semantic SegmentationCode1
A Structure-Aware Relation Network for Thoracic Diseases Detection and SegmentationCode1
CTVIS: Consistent Training for Online Video Instance SegmentationCode1
Deep Structured Instance Graph for Distilling Object DetectorsCode1
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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