EntityEntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
Stars: ✭ 313 (+83.04%)
AdelaidetAdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
Stars: ✭ 2,565 (+1400%)
BCNetDeep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]
Stars: ✭ 434 (+153.8%)
Mask rcnn pytorchMask R-CNN for object detection and instance segmentation on Pytorch
Stars: ✭ 123 (-28.07%)
AsisAssociatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019
Stars: ✭ 228 (+33.33%)
PanetPANet for Instance Segmentation and Object Detection
Stars: ✭ 1,170 (+584.21%)
SoloSOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.
Stars: ✭ 992 (+480.12%)
Sota Point Cloud🔥Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)
Stars: ✭ 778 (+354.97%)
Solov2SOLOv2: Dynamic, Faster and Stronger, achives 39.5mAP on coco test-dev (36 epochs result)
Stars: ✭ 174 (+1.75%)
Bmaskr CnnBoundary-preserving Mask R-CNN (ECCV 2020)
Stars: ✭ 116 (-32.16%)
Vovnet Detectron2VoVNet backbone networks for detectron2, in CVPR 2020
Stars: ✭ 249 (+45.61%)
Seg By InteractionUnsupervised instance segmentation via active robot interaction
Stars: ✭ 78 (-54.39%)
Data Science Bowl 2018End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle
Stars: ✭ 56 (-67.25%)
DiscoBoxThe Official PyTorch Implementation of DiscoBox.
Stars: ✭ 95 (-44.44%)
AcisActor-Critic Instance Segmentation (CVPR 2019)
Stars: ✭ 15 (-91.23%)
PaddledetectionObject Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Stars: ✭ 5,799 (+3291.23%)
Polyrnn PpInference Code for Polygon-RNN++ (CVPR 2018)
Stars: ✭ 704 (+311.7%)
Jsis3d[CVPR'19] JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds
Stars: ✭ 144 (-15.79%)
Polyrnn Pp PytorchPyTorch training/tool code for Polygon-RNN++ (CVPR 2018)
Stars: ✭ 672 (+292.98%)
Centermask2Real-time Anchor-Free Instance Segmentation, in CVPR 2020
Stars: ✭ 596 (+248.54%)
CountsegOfficial code for "Object counting and instance segmentation with image-level supervision", in CVPR 2019 and TPAMI 2020
Stars: ✭ 129 (-24.56%)
Deepco3[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)
Stars: ✭ 127 (-25.73%)
FfnFlood-Filling Networks for instance segmentation in 3d volumes.
Stars: ✭ 252 (+47.37%)
Ac FpnImplement of paper 《Attention-guided Context Feature Pyramid Network for Object Detection》
Stars: ✭ 117 (-31.58%)
CiouComplete-IoU (CIoU) Loss and Cluster-NMS for Object Detection and Instance Segmentation (YOLACT)
Stars: ✭ 166 (-2.92%)
Lanenet Lane DetectionUnofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/
Stars: ✭ 1,690 (+888.3%)
DropLossImplementation of DropLoss for Long-Tail Instance Segmentation in Pytorch
Stars: ✭ 38 (-77.78%)
CondinstConditional Convolutions for Instance Segmentation, achives 37.1mAP on coco val
Stars: ✭ 101 (-40.94%)
KeraspersonlabKeras-tensorflow implementation of PersonLab (https://arxiv.org/abs/1803.08225)
Stars: ✭ 163 (-4.68%)
D2detD2Det: Towards High Quality Object Detection and Instance Segmentation (CVPR2020)
Stars: ✭ 234 (+36.84%)
Psconv[ECCV 2020] PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer
Stars: ✭ 138 (-19.3%)
DetectorchDetectorch - detectron for PyTorch
Stars: ✭ 566 (+230.99%)
Maskrcnn ModanetA Mask R-CNN Keras implementation with Modanet annotations on the Paperdoll dataset
Stars: ✭ 59 (-65.5%)
SoloSOLO: Segmenting Objects by Locations
Stars: ✭ 160 (-6.43%)
Yolact fcosYOLACT: Real-time Instance Segmentation on the FCOS detector (without bbox cropping), achives 35.2mAP on coco val
Stars: ✭ 56 (-67.25%)
Deep-LearningSide projects and hands-on work
Stars: ✭ 16 (-90.64%)
GcnetGCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
Stars: ✭ 945 (+452.63%)
TfvosSemi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.
Stars: ✭ 151 (-11.7%)
Cell DetrOfficial and maintained implementation of the paper Attention-Based Transformers for Instance Segmentation of Cells in Microstructures [BIBM 2020].
Stars: ✭ 26 (-84.8%)
MmdetectionOpenMMLab Detection Toolbox and Benchmark
Stars: ✭ 17,646 (+10219.3%)
LabelmeImage Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Stars: ✭ 7,742 (+4427.49%)
Data science bowl 2018My 5th place (out of 816 teams) solution to The 2018 Data Science Bowl organized by Booz Allen Hamilton
Stars: ✭ 147 (-14.04%)
Yolact edgeThe first competitive instance segmentation approach that runs on small edge devices at real-time speeds.
Stars: ✭ 697 (+307.6%)
image-segmentationMask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available
Stars: ✭ 62 (-63.74%)
CentermaskCenterMask : Real-Time Anchor-Free Instance Segmentation, in CVPR 2020
Stars: ✭ 646 (+277.78%)
Remo Python🐰 Python lib for remo - the app for annotations and images management in Computer Vision
Stars: ✭ 138 (-19.3%)
UpsnetUPSNet: A Unified Panoptic Segmentation Network
Stars: ✭ 578 (+238.01%)
TfwssWeakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).
Stars: ✭ 212 (+23.98%)
Copy Paste AugCopy-paste augmentation for segmentation and detection tasks
Stars: ✭ 132 (-22.81%)
Paper-NotesPaper notes in deep learning/machine learning and computer vision
Stars: ✭ 37 (-78.36%)
Xtreme-VisionA High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.
Stars: ✭ 77 (-54.97%)