shaoyuanlo / EDANet

Related projects: ⓘ

• wpf535236337 / pytorch_EDANet
  implementation EDANet by pytorch
  ☆21Updated 5 years ago
• lizhengwei1992 / mobilenetv2_deeplabv3_pytorch
  Try to implement deeplab v3+ on pytorch according to offical demo.
  ☆42Updated 6 years ago
• wutianyiRosun / TKCN
  ☆53Updated this week
• sydney0zq / PTSNet
  Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation
  ☆118Updated 4 years ago
• SamvitJ / Accel
  Fast, high accuracy video segmentation framework (CVPR 2019 oral)
  ☆53Updated 5 years ago
• xiaoyufenfei / ESNet
  ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation
  ☆96Updated last month
• yangyi02 / densebox
  ☆37Updated 5 years ago
• Hwang64 / PSIS
  Data Augmentation for Object Detection via Progressive and Selective Instance-Switching
  ☆77Updated 3 years ago
• Angzz / panoptic-fpn-gluon
  Panoptic Feature Pyramid Networks
  ☆59Updated 5 years ago
• bruinxiong / Modified-CBAMnet.mxnet
  A MXNet implementation of Modified CBAMnet.mxnet
  ☆39Updated 5 years ago
• d-li14 / HBONet
  [ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions, surpassing MobileNetV2
  ☆103Updated 4 years ago
• vaesl / LFIP
  Efficient Featurized Image Pyramid Network for Single Shot Detector, CVPR, 2019
  ☆54Updated 5 years ago
• jandylin / DFANet_PyTorch
  Unofficial implementation of Deep Feature Aggregation Networks for real-time semantic segmentation.
  ☆30Updated 5 years ago
• HolmesShuan / Location-aware-Upsampling-for-Semantic-Segmentation
  The Pytorch implementation of "Location-aware Upsampling for Semantic Segmentation" (LaU)
  ☆52Updated 4 years ago
• LaoYang1994 / PanopticSegmentation
  PKU_360 Team's fuse code! This code is used to fuse the semantic segmentation result and instance segmentation result. We won the third p…
  ☆73Updated 4 years ago
• JackieZhangdx / InstanceSegmentationList
  This repository contains lists of state-or-art semantic instance segmentation works
  ☆87Updated 6 years ago
• Tangshitao / Semi-supervised-Adaptive-Distillation
  Semi-supervised Adaptive Distillation is a model compression method for object detection.
  ☆58Updated 4 years ago
• lixincn2015 / Partial-Order-Pruning
  Partial Order Pruning: for Best Speed/Accuracy Trade-off in Neural Architecture Search
  ☆150Updated 3 years ago
• milongo / CASENet
  PyTorch implementation of CASENet
  ☆38Updated 6 years ago
• BIGKnight / deformable_conv2d_pytorch
  deformable_conv2d layer implemented in pytorch
  ☆64Updated 5 years ago
• lingtengqiu / LibTorch_RefineDet
  RefineDet_API_for_pytorch C++
  ☆27Updated 3 years ago
• zl1994 / IoU-Uniform-R-CNN
  Codes for paper: "IoU-Uniform R-CNN: Breaking Through the Limitations of RPN"
  ☆51Updated 4 years ago
• WenqiangX / ese_seg
  Explicit Shape Encoding for Real-time Instance Segmentation
  ☆105Updated last year
• aliborji / DetectionUpperbound
  Code for calculating the upper bound AP in object detection
  ☆81Updated 4 years ago
• GothicAi / InstaBoost-pypi
  ☆47Updated 2 years ago
• slryou41 / AnchorLoss
  Implementation of "Anchor Loss: Modulating loss scale based on prediction difficulty"
  ☆53Updated 3 years ago
• xingmimfl / pytorch_ShuffleNet_ShuffleNetV2
  pytorch version of ShuffleNet and ShuffleNet V2
  ☆24Updated 6 years ago
• YingjieYin / Directional-Deep-Embedding-and-Appearance-Learning-for-Fast-Video-Object-Segmentation
  We propose a directional deep embedding and appearance learning (DDEAL) method, which is free of the online fine-tuning process, for fast…
  ☆23Updated 3 years ago
• Liusifei / caffe-spn
  ☆61Updated this week
• RalphMao / PatchNet
  ☆19Updated 3 years ago