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 16761700 of 2262 papers

TitleStatusHype
MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation0
3rd Place Scheme on Instance Segmentation Track of ICCV 2021 VIPriors Challenges0
iShape: A First Step Towards Irregular Shape Instance Segmentation0
Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images0
Image BERT Pre-training with Online Tokenizer0
FoxInst: A Frustratingly Simple Baseline for Weakly Few-shot Instance Segmentation0
Attention-based Feature Aggregation0
An object-centric sensitivity analysis of deep learning based instance segmentation0
TreeNet: A lightweight One-Shot Aggregation Convolutional Network0
Localizing Infinity-shaped fishes: Sketch-guided object localization in the wildCode0
Dense Semantic Contrast for Self-Supervised Visual Representation Learning0
UCP-Net: Unstructured Contour Points for Instance Segmentation0
Temporal RoI Align for Video Object Recognition0
Mask is All You Need: Rethinking Mask R-CNN for Dense and Arbitrary-Shaped Scene Text Detection0
RiWNet: A moving object instance segmentation Network being Robust in adverse Weather conditions0
Benchmarking the Robustness of Instance Segmentation Models0
SMAC-Seg: LiDAR Panoptic Segmentation via Sparse Multi-directional Attention Clustering0
Simultaneous Nuclear Instance and Layer Segmentation in Oral Epithelial Dysplasia0
InSeGAN: A Generative Approach to Segmenting Identical Instances in Depth Images0
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision0
ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation0
An Underwater Image Semantic Segmentation Method Focusing on Boundaries and a Real Underwater Scene Semantic Segmentation DatasetCode0
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating roomCode0
Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification0
Image coding for machines: an end-to-end learned approach0
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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