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 15011525 of 2262 papers

TitleStatusHype
Embedded Vision for Self-Driving on Forest Roads0
ICDAR 2021 Competition on Historical Map SegmentationCode0
BoundarySqueeze: Image Segmentation as Boundary SqueezingCode1
Reinforcement learning for instance segmentation with high-level priors0
Deep Active Contours Using Locally Controlled Distance Vector Flow0
Temporal Prediction and Evaluation of Brassica Growth in the Field using Conditional Generative Adversarial Networks0
Instance Segmentation of Microscopic ForaminiferaCode0
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box SupervisionCode1
Waste detection in Pomerania: non-profit project for detecting waste in environmentCode1
Incremental Few-Shot Instance SegmentationCode1
Conformer: Local Features Coupling Global Representations for Visual RecognitionCode1
A^2-FPN: Attention Aggregation based Feature Pyramid Network for Instance Segmentation0
Beyond Self-attention: External Attention using Two Linear Layers for Visual TasksCode2
Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors0
Instances as QueriesCode1
PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and BeyondCode1
Robust 3D Cell Segmentation: Extending the View of CellposeCode1
ISTR: End-to-End Instance Segmentation with TransformersCode1
SegmentMeIfYouCan: A Benchmark for Anomaly SegmentationCode1
ACDC: The Adverse Conditions Dataset with Correspondences for Robust Semantic Driving Scene Perception0
Multimodal Contrastive Training for Visual Representation Learning0
Learning to Better Segment Objects from Unseen Classes with Unlabeled Videos0
Pri3D: Can 3D Priors Help 2D Representation Learning?Code1
A Structure-Aware Relation Network for Thoracic Diseases Detection and SegmentationCode1
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular CamerasCode1
Show:102550
← PrevPage 61 of 91Next →

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