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

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Showing 351–400 of 2262 papers

TitleStatusHype
MP-PolarMask: A Faster and Finer Instance Segmentation for Concave Images—0
Layout Agnostic Scene Text Image Synthesis with Diffusion Models—0
MultiPly: Reconstruction of Multiple People from Monocular Video in the Wild—0
An expert-driven data generation pipeline for histological imagesCode0
From Seedling to Harvest: The GrowingSoy Dataset for Weed Detection in Soy Crops via Instance SegmentationCode0
Extreme Point Supervised Instance Segmentation—0
OpenDAS: Open-Vocabulary Domain Adaptation for 2D and 3D Segmentation—0
Reasoning3D -- Grounding and Reasoning in 3D: Fine-Grained Zero-Shot Open-Vocabulary 3D Reasoning Part Segmentation via Large Vision-Language Models—0
Adapting Pre-Trained Vision Models for Novel Instance Detection and SegmentationCode2
BAISeg: Boundary Assisted Weakly Supervised Instance SegmentationCode0
Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learning—0
Video Prediction Models as General Visual Encoders—0
Efficient Temporal Action Segmentation via Boundary-aware Query VotingCode0
Autonomous Quilt Spreading for Caregiving Robots—0
Harmony: A Joint Self-Supervised and Weakly-Supervised Framework for Learning General Purpose Visual RepresentationsCode0
PerSense: Personalized Instance Segmentation in Dense ImagesCode1
Unsupervised Pre-training with Language-Vision Prompts for Low-Data Instance SegmentationCode0
Vision Transformer with Sparse Scan PriorCode0
Semantic Equitable Clustering: A Simple and Effective Strategy for Clustering Vision Tokens—0
Improving the Explain-Any-Concept by Introducing Nonlinearity to the Trainable Surrogate Model—0
Unifying 3D Vision-Language Understanding via Promptable Queries—0
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative DataCode2
UDA4Inst: Unsupervised Domain Adaptation for Instance Segmentation—0
PLUTO: Pathology-Universal Transformer—0
MambaOut: Do We Really Need Mamba for Vision?Code7
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 Segmentation—0
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 Images—0
PTQ4SAM: Post-Training Quantization for Segment AnythingCode2
Towards general deep-learning-based tree instance segmentation models—0
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 Segmentation—0
Surgical-DeSAM: Decoupling SAM for Instrument Segmentation in Robotic SurgeryCode1
FisheyeDetNet: 360° Surround view Fisheye Camera based Object Detection System for Autonomous Driving—0
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 Architecture—0
Spot-Compose: A Framework for Open-Vocabulary Object Retrieval and Drawer Manipulation in Point Clouds—0
Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery—0
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 Segmentation—0
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 Pathology—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-HAP5080.8—Unverified
2ResNeSt-200 (multi-scale)AP5070.2—Unverified
3CenterMask + VoVNetV2-99 (multi-scale)AP5066.2—Unverified
4CenterMask + VoVNetV2-57 (single-scale)AP5060.8—Unverified
5Co-DETRmask AP57.1—Unverified
6CBNetV2 (EVA02, single-scale)mask AP56.1—Unverified
7ISDA (ResNet-50)APL55.7—Unverified
8EVAmask AP55.5—Unverified
9FD-SwinV2-Gmask AP55.4—Unverified
10Mask Frozen-DETRmask AP55.3—Unverified
#ModelMetricClaimedVerifiedStatus
1InternImage-BGFLOPs501—Unverified
2Co-DETRmask AP56.6—Unverified
3ViT-CoMer-L (Mask RCNN, DINOv2)mask AP55.9—Unverified
4InternImage-Hmask AP55.4—Unverified
5EVAmask AP55—Unverified
6Mask Frozen-DETRmask AP54.9—Unverified
7MasK DINO (SwinL, multi-scale)mask AP54.5—Unverified
8ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2—Unverified
9GLEE-Promask AP54.2—Unverified
10SwinV2-G (HTC++)mask AP53.7—Unverified