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 376400 of 2262 papers

TitleStatusHype
PotatoGANs: Utilizing Generative Adversarial Networks, Instance Segmentation, and Explainable AI for Enhanced Potato Disease Identification and ClassificationCode0
Global Motion Understanding in Large-Scale Video Object Segmentation0
GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNsCode2
CSA-Net: Channel-wise Spatially Autocorrelated Attention NetworksCode0
AugmenTory: A Fast and Flexible Polygon Augmentation LibraryCode1
A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images0
PTQ4SAM: Post-Training Quantization for Segment AnythingCode2
Towards general deep-learning-based tree instance segmentation models0
UniFS: Universal Few-shot Instance Perception with Point RepresentationsCode1
From Density to Geometry: YOLOv8 Instance Segmentation for Reverse Engineering of Optimized StructuresCode0
Self-Balanced R-CNN for Instance SegmentationCode0
PM-VIS: High-Performance Box-Supervised Video Instance Segmentation0
Surgical-DeSAM: Decoupling SAM for Instrument Segmentation in Robotic SurgeryCode1
FisheyeDetNet: 360° Surround view Fisheye Camera based Object Detection System for Autonomous Driving0
FipTR: A Simple yet Effective Transformer Framework for Future Instance Prediction in Autonomous DrivingCode1
Nuclei Instance Segmentation of Cryosectioned H&E Stained Histological Images using Triple U-Net Architecture0
Spot-Compose: A Framework for Open-Vocabulary Object Retrieval and Drawer Manipulation in Point Clouds0
Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery0
The devil is in the object boundary: towards annotation-free instance segmentation using Foundation ModelsCode1
Mushroom Segmentation and 3D Pose Estimation from Point Clouds using Fully Convolutional Geometric Features and Implicit Pose EncodingCode0
Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation0
UruDendro, a public dataset of cross-section images of Pinus taedaCode0
NOISe: Nuclei-Aware Osteoclast Instance Segmentation for Mouse-to-Human Domain TransferCode0
SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic PerceptionCode1
Structured Model Pruning for Efficient Inference in Computational Pathology0
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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