pytorch-auto-drive

SOTA Re-identification Methods and Toolbox

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

World's Best AI Aimbot - CS2, Valorant, Fortnite, APEX, every game

Add bisenetv2. My implementation of BiSeNet

:couple: Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral) :couple:

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

Official PyTorch implementation of Fully Attentional Networks

face recognition training project(pytorch)