106 skills found · Page 1 of 4
vqdang / Hover NetSimultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
zsylvester / SegmenteverygrainA SAM-based model for instance segmentation of images of grains
JialeCao001 / SipMaskSipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)
chaozhong2010 / HRSIDHRSID: high resolution sar images dataset for ship detection, semantic segmentation, and instance segmentation tasks.
davyneven / FastSceneUnderstandingsegmentation, instance segmentation and single image depth
ArtyZe / Yolo Segmentationimage (semantic segmentation) instance segmentation by darknet or yolo
GuoleiSun / CountSegOfficial code for "Object counting and instance segmentation with image-level supervision", in CVPR 2019 and TPAMI 2020
CAPTAIN-WHU / ISAID Devkit[CVPR'W19-Oral] Official repository for "iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images"
MarvinLer / Tcga SegmentationWhole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
chaozhong2010 / VHR 10 Dataset CocoObject detection and instance segmentation dataset for VHR remote sensing images further marked on the NWPU VHR-10 dataset and SSDD dataset according to the standard coco dataset.
juglab / EmbedSegCode Implementation for EmbedSeg, an Instance Segmentation Method for Microscopy Images
kreshuklab / PansegA tool for cell instance aware segmentation in densely packed 3D volumetric images
yinjunbo / CenterPoint FusionThe proposed approach enhances the CenterPoint baseline with a multimodal fusion mechanism. First, inspired by PointPainting, an off-the-shelf Mask-RCNN model trained from nuImages is employed to generate 2D object mask information based on the camera images. Furthermore, the Cylinder3D is also adopted to produce the 3D semantic information of the input LiDAR point cloud. Then, an improved version of CenterPoint takes the painted points(with 2D instance segmentation and 3D semantic segmentation) as inputs for accurate object detection. Specifically, we replace the RPN module in CenterPoint with modified Spatial-Semantic Feature Aggregation(SSFA) to well address multi-class detection. A simple pseudo labeling technique is also integrated in a semi-supervised learning manner. In addition, the Test Time Augmentation(TTA) strategy including multiple flip and rotation operations is applied during the inference time. Finally, the detections generated from multiple voxel resolutions (0.05m to 0.125m) are assembled with 3D Weighted Bounding Box Fusion(WBF) technique to produce the final results.
IvisionLab / Deep Dental ImageMask R-CNN for instance segmentation of panoramic X-ray images
miatang13 / InkLayerOfficial Implementation of "Instance Segmentation of Scene Sketches Using Natural Image Priors" (SIGGRAPH 2025)
yeliudev / CATNet🛰️ Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images (TNNLS 2024)
jvpassarelli / Sam Clip SegmentationImage Instance Segmentation - Zero Shot - OpenAI's CLIP + Meta's SAM
juanb09111 / FinnForestThis paper introduces a forest dataset called FinnWoodlands, which consists of RGB stereo images, point clouds, and sparse depth maps, as well as ground truth manual annotations for semantic, instance, and panoptic segmentation
ZFTurbo / Keras Mask RCNN For Open Images 2019 Instance SegmentationCode and pre-trained models for Instance Segmentation track in Open Images Dataset
burke86 / Astro RcnnAstro R-CNN: Instance Segmentation in Astronomical Images using Mask R-CNN Deep Learning
