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 10511075 of 2262 papers

TitleStatusHype
Split and Expand: An inference-time improvement for Weakly Supervised Cell Instance Segmentation0
Generative Shape Models: Joint Text Recognition and Segmentation with Very Little Training Data0
Generative AI Driven Task-Oriented Adaptive Semantic Communications0
MAFormer: A Transformer Network with Multi-scale Attention Fusion for Visual Recognition0
LSVOS Challenge 3rd Place Report: SAM2 and Cutie based VOS0
Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline0
Generalized Mask-aware IoU for Anchor Assignment for Real-time Instance Segmentation0
3rd Place Solution for PVUW Challenge 2023: Video Panoptic Segmentation0
Active Coarse-to-Fine Segmentation of Moveable Parts from Real Images0
Generalized Class Discovery in Instance Segmentation0
gen2seg: Generative Models Enable Generalizable Instance Segmentation0
CNN-based Preprocessing to Optimize Watershed-based Cell Segmentation in 3D Confocal Microscopy Images0
ADFQ-ViT: Activation-Distribution-Friendly Post-Training Quantization for Vision Transformers0
LVIS Challenge Track Technical Report 1st Place Solution: Distribution Balanced and Boundary Refinement for Large Vocabulary Instance Segmentation0
CML-MOTS: Collaborative Multi-task Learning for Multi-Object Tracking and Segmentation0
Associating Inter-Image Salient Instances for Weakly Supervised Semantic Segmentation0
GANtruth - an unpaired image-to-image translation method for driving scenarios0
Cluttered Food Grasping with Adaptive Fingers and Synthetic-Data Trained Object Detection0
3D-BEVIS: Bird's-Eye-View Instance Segmentation0
ClusterViG: Efficient Globally Aware Vision GNNs via Image Partitioning0
ClusterNet: 3D Instance Segmentation in RGB-D Images0
Fully-Automated Packaging Structure Recognition in Logistics Environments0
FSD V2: Improving Fully Sparse 3D Object Detection with Virtual Voxels0
Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures0
Fruit Detection, Segmentation and 3D Visualisation of Environments in Apple Orchards0
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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