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 1051–1100 of 2262 papers

TitleStatusHype
Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing—0
ADFQ-ViT: Activation-Distribution-Friendly Post-Training Quantization for Vision Transformers—0
Robot Instance Segmentation with Few Annotations for GraspingCode0
PanopticRecon: Leverage Open-vocabulary Instance Segmentation for Zero-shot Panoptic Reconstruction—0
PM-VIS+: High-Performance Video Instance Segmentation without Video AnnotationCode0
3D Feature Distillation with Object-Centric Priors—0
CoDA: Interactive Segmentation and Morphological Analysis of Dendroid Structures Exemplified on Stony Cold-Water CoralsCode0
XAMI -- A Benchmark Dataset for Artefact Detection in XMM-Newton Optical ImagesCode0
Optimization of Autonomous Driving Image Detection Based on RFAConv and Triplet Attention—0
Depth-Guided Semi-Supervised Instance Segmentation—0
Semi-supervised classification of dental conditions in panoramic radiographs using large language model and instance segmentation: A real-world dataset evaluation—0
GMT: Guided Mask Transformer for Leaf Instance SegmentationCode0
Fine-grained Background Representation for Weakly Supervised Semantic SegmentationCode0
TraceNet: Segment one thing efficiently—0
2nd Place Solution for MeViS Track in CVPR 2024 PVUW Workshop: Motion Expression guided Video Segmentation—0
3D Instance Segmentation Using Deep Learning on RGB-D Indoor Data—0
Competitive Learning for Achieving Content-specific Filters in Video Coding for Machines—0
Benchmarking Label Noise in Instance Segmentation: Spatial Noise MattersCode0
MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor PerceptionCode0
2nd Place Solution for MOSE Track in CVPR 2024 PVUW workshop: Complex Video Object Segmentation—0
PanoSSC: Exploring Monocular Panoptic 3D Scene Reconstruction for Autonomous Driving—0
UVIS: Unsupervised Video Instance Segmentation—0
Dual Thinking and Logical Processing -- Are Multi-modal Large Language Models Closing the Gap with Human Vision ?Code0
RS-DFM: A Remote Sensing Distributed Foundation Model for Diverse Downstream Tasks—0
1st Place Winner of the 2024 Pixel-level Video Understanding in the Wild (CVPR'24 PVUW) Challenge in Video Panoptic Segmentation and Best Long Video Consistency of Video Semantic Segmentation—0
Nacala-Roof-Material: Drone Imagery for Roof Detection, Classification, and Segmentation to Support Mosquito-borne Disease Risk Assessment—0
MultiPly: Reconstruction of Multiple People from Monocular Video in the Wild—0
Layout Agnostic Scene Text Image Synthesis with Diffusion Models—0
MP-PolarMask: A Faster and Finer Instance Segmentation for Concave Images—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
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
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
UDA4Inst: Unsupervised Domain Adaptation for Instance Segmentation—0
PLUTO: Pathology-Universal Transformer—0
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
CSA-Net: Channel-wise Spatially Autocorrelated Attention NetworksCode0
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All datasetsCOCO test-devCOCO minivalLVIS v1.0 valCityscapes valADE20K valARMBenchOccluded COCOOoDISSeparated COCOTBBRBDD100K valCOCO val (panoptic labels)

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
8GLEE-Promask AP54.2—Unverified
9ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale)mask AP54.2—Unverified
10SwinV2-G (HTC++)mask AP53.7—Unverified